![]() Device for checking a state of a machine part
专利摘要:
Device (1) for checking a condition of a machine part (2) of a shaping machine (3), having an evaluation unit (4), at least one power loss sensor (5) for determining a power loss (VL) in and / or on the machine part (2) representative power loss measurement signal (MvL), and at least one motion sensor (6) for determining a motion (B) of the machine part (2) representative motion measurement signal (M8), wherein the evaluation unit (4) is adapted to the power loss -Measurement signal (MvL) and from the motion measurement signal (Ms) to calculate a damage indicator (SI) for the machine part (2). 公开号:AT517886A1 申请号:T710/2015 申请日:2015-11-05 公开日:2017-05-15 发明作者:Ing Dr Kurt Pichler Dipl;Klinglmayr Johannes;Ing Dr Friedrich Johannes Kilian Dipl;Ing Dr Reimar Pfeil Dipl 申请人:Engel Austria Gmbh; IPC主号:
专利说明:
The invention relates to a device for checking a state of a machine part of a shaping machine. Furthermore, the invention relates to a molding machine with such a device and a method for checking the condition of a machine part of a molding machine, in particular with such a device. In various industrial sectors, especially in the field of large machines, such as forming machines, occur on the operation damage in relatively heavily loaded machine parts. If excessive damage is not detected in time, other parts that have not been damaged or that have hardly been damaged can also be affected. This can lead to high costs. Therefore, there are already efforts to detect damage in the machine parts early, so that appropriate measures can be taken in good time, for example, that the damaged machine part is replaced by an expected major ailments. For this purpose from the article "Sensorless machine condition monitoring" by Weck (in VDI-Z integrated production 142 (6), pages / article No .: 53-58 2000, Imprint Dusseldorf: Springer-VDI-Verl. ISSN 0042-1766) known that breakdowns of machine tools are particularly frequently caused by the failure of mechanical components of the drive train. For this purpose, according to the article, a continuous monitoring of the machine condition is provided. For example, damage in main spindle bearings can be detected by their temperature behavior. Otherwise, according to this article, a good correlation of the course of the displacement force of a failed guide carriage with that of the motor current can be determined. Thus, a sensorless, on the basis of the motor current of the feed drive (corresponding to the machine part) based state monitoring is possible. So this is mainly solved with a pure software application. The disadvantage here is that the motor current results in a relatively inaccurate image of damage. Thus, the read out from the motor current Have relatively large differences from the damage actually present. Therefore, the machine part can be replaced unnecessarily early or even late. From the scientific work "Ball Screws in Use at Plastic Injection Molding Machines - Lifetime Forecasting and Optimization" by Forstmann from the year 2010 series of tests emerge, in which the temperature and the vibration (structure-borne noise) of a machine part are recorded simultaneously. Load data, geometric data, material, surface and material properties or the wear limit (material removal on the component surface) are used as input variables for a service life prediction model (see point 4.1). An essential finding in this work is that the wear of the ball screw drive is mainly related to the degree of contamination of the lubricant with abrasive particles and the temperature (see point 4.4.9). Under point 4.4.9.1 it is stated that a damage parameter can be thought of as the sum of individual sub-factors, which yield the damage parameters according to a mathematical linkage to be selected. Under point 5.3.2.5 failure criteria for ball screws are given. Since ball screws are not monitored on plastic processing machines in the practice, it often leads to unexpected failures, since the wear rate from the time the damage becomes audible to the machine operator is so high that mostly only short residual maturities are given. For condition monitoring of series machines in production, it is desirable for cost reasons to manage without additional sensors. One solution for this is the evaluation of the drive data, in particular the data present in the frequency converter. It is further described that in addition to the engine torque from the test bench further measurement data are recorded, which can be used for the determination of the failure time of the ball screw. The temperature on the outside of the nut in conjunction with the ambient temperature is an integral measure of the friction work involved, which increases with increasing wear of the ball screw. In the studies carried out according to this scientific paper, neither the Practicality for operation monitoring on series machines still the cost of diagnostic methods in the foreground, but the early detection of damage. Finally, the summation under point 8 states that the realized forecasting model is able to individually determine the damage for each area of the ball screw, both for fatigue wear and for abrasion wear. A disadvantage of this scientific work is that it was carried out only on theoretical considerations or with an unsuitable for practical purposes test arrangement. In addition, it is disadvantageous that, although temperature and vibration (structure-borne noise) was recorded simultaneously, no set of rules for any type of fusion of the measured data is given. Thus, based on this work, it is not possible to obtain a quick and meaningful result in practice. The object of the present invention is therefore to provide an alternative or improved to the known prior art device and an improved method. In particular, the disadvantages known from the prior art should be eliminated. This is achieved by a device having the features of claim 1. Accordingly, the device comprises an evaluation unit, at least one power dissipation sensor for determining a loss power measurement signal representative of a power loss in and / or on the machine part, and at least one motion sensor for determining a motion measurement signal representative of the movement of the machine part, wherein the evaluation unit is designed for this purpose to calculate a damage indicator for the machine part from the power loss measurement signal and from the motion measurement signal. Preferred embodiments can be found in the dependent claims. It is thus possible for the first time to fuse the damage with very precisely reproducing values (at least loss power measurement signal and motion measurement signal) into a single meaningful value (damage indicator). This provides an operator with a fast, sound and meaningful basis for deciding on a machine part replacement. In other words, the invention is based on the fusion of multiple indicators in the measures to a global injury indicator. The remaining service life of the machine part is then given in relation to the service life of the manufacturer. If the damage indicator is just below or reaches the life rating, the machine part should be replaced. Power loss refers to the difference between absorbed power (power consumption) and output in the desired form (power output) of a device or process. Power loss is mainly released as heat flow can therefore be determined by a temperature measurement. Furthermore, the power loss can also be calculated as the difference between the supplied electrical and dissipated mechanical power. This results in a virtual sensor signal. If the mechanical power output can not be measured directly, the power loss can also be done purely by monitoring the motor power. If this engine power increases continuously during a constant process, the additional power supplied must be budgeted as a loss. In order to achieve an even more accurate statement about the actually present damage to the machine part, preferably a wear sensor, preferably a particle counter or oil condition sensor, provided for determining the wear of the machine part, said determined wear is transmitted as wear measurement signal to the evaluation, which additionally this wear measurement signal considered for the calculation of the injury indicator. Specifically, for example, a wear sensor from Argo Hytos can be used, which is an intelligent sensor for determining the state of hydraulic and lubrication systems using ferromagnetic wear particles. This sensor is designed as a screw-in or immersion sensor and is designed for continuous monitoring of ferromagnetic contamination in the oil. Instead of or in addition to this determined wear, which is caused by operational use, but also the aging - ie the period since the start of the machine part - can be included in the calculation of the injury indicator. Such aging is also given when not in use, so purely through the passage of time. In other words, therefore, the pure age of the machine part can also form a calculation factor of the damage indicator. In principle, with the device described, each machine part can be examined for damage. Preferably, such a machine part performs movements, which is why wear naturally occurs due to the movement. Particularly useful is the use of such a device for checking a state of a machine part when this machine part is a drive unit. This can be for example a piston-cylinder unit or a belt drive. However, particularly preferably a machine part in the form of a ball screw, for example for use in a closing unit of a shaping machine, is checked with the device. Such a ball screw has a spindle, a spindle nut and arranged therebetween, preferably spherical, rolling elements. Since such ball screws operate precisely and damage can cause high costs, the described device can be used particularly efficiently in such ball screws. It is basically sufficient if the power loss is determined on the basis of a single power dissipation sensor. However, in order to obtain an even more meaningful value, an ambient temperature sensor for measuring the ambient temperature in the region of the forming machine is preferably provided, wherein this ambient temperature is transmitted as an ambient temperature measurement signal to the evaluation unit, wherein the evaluation unit with the ambient temperature measurement signal to the loss power measurement signal adjusted temperature measurement signal corrected. Thus, a too cool or too hot ambient temperature or time-dependent temperature variations can not distort the actual power loss undesirable. The motion sensor can be designed as a vibration sensor or as a speed sensor. Preferably, the motion sensor is designed as an acceleration sensor, which measures the second time derivative of the position of the machine part. The motion sensor may also include one or more of these sensors. The acceleration sensor is particularly well suited to output different oscillation frequency ranges as frequency bands. Particularly relevant features of these frequency bands are frequency peaks or pulse signals. These features are suitable for determining a chipping indicator. Additionally or alternatively, however, measured variables of the wear sensor can also be included in the determination of the chipping indicator. Another partial indicator of the injury indicator is the friction indicator. This can be calculated via the evaluation unit from the power loss measurement signal, preferably from the adjusted temperature measurement signal. A wear indicator is again calculated from the motion measurement signal via the evaluation unit. Thus, the injury indicator is composed of the chipping indicator, the friction indicator, and the wear indicator. For the calculation of the damage indicator, however, not only information from the sensors of the device can be used, but it is even advantageous if the evaluation unit additionally receives at least one electrical signal of the shaping machine. This at least one electrical signal of the shaping machine can represent, for example, a position and / or a direction of movement of the machine part of the shaping machine. That is, when just a particularly powerful cycle section is undergoing, the measurement results are adjusted accordingly. Above all, intensified vibrations may occur at such a time of the cycle, but they do not indicate any increased damage. These values can be correspondingly taken into account or filtered out on the basis of the information about the position and / or the direction of movement of the machine part. It is also possible that the at least one electrical signal of the shaping machine represents a temperature of a part, for example a spindle, of the shaping machine and this signal also flows into the determination of the power loss. Thus, a signal already present in the shaping machine can also be used for a more precise determination of the power loss. Specifically, the power loss is thus composed of the power loss measurement signal (which corresponds for example to the lubricating oil temperature), the electrical signal representing the spindle temperature and the ambient temperature measurement signal representing the ambient temperature. Protection is also desired for a molding machine, in particular injection molding machine or injection press, with a device according to the invention. In this case, it is preferably provided that the shaping machine has a control or regulating unit, which is in signal communication with the evaluation unit, for controlling or regulating the shaping machine. The evaluation unit can also be integrated in the control unit. In particular, the evaluation unit may be a program stored in the control unit. In principle, it is possible for the control unit to control or regulate the shaping machine as a function of the damage indicator transmitted to the control or regulating unit by the evaluation unit, for example, the machine part can be brought to a standstill at a corresponding value or upon reaching a predetermined threshold value for the damage indicator even shut down completely. In general, it may be provided that taxes or rules for damage recognized to carry out gentler in order to prevent further damage or at least delay. For example, lower accelerations or jerks can be driven. It is preferably provided that a warning signal can be output via the control or regulation unit as a function of the damage indicator transmitted to the control or regulation unit by the evaluation unit, if the transmitted Damage indicator reaches a specified threshold. This warning signal can be output acoustically, for example. However, the current value of the damage indicator and / or the warning signal can also be transmitted back to the control unit or forwarded via an optional network connection to a remote maintenance center (eg a service center or the like). Preferably, the damage indicator is displayed (for example as a numerical value) via a display device. This display device may be part of the evaluation unit. However, it is also possible to use the mostly already existing display device (screen) of the control or regulating unit of the shaping machine. Protection is moreover desired for a method for checking a condition of a machine part of a shaping machine, in particular with a device according to the invention. The steps of determining a power loss in and / or on the machine part, determining a movement of the machine part, and calculating a damage indicator for the machine part by the evaluation unit from the power loss and from the movement are provided. In more detail, the steps of determining a power loss in and / or on the machine part with a power loss sensor, this determined power loss is transmitted as loss power measurement signal to an evaluation, determining a movement of the machine part with a motion sensor, said determined movement as a motion measurement signal to the evaluation is transmitted, and calculating a damage indicator for the machine part provided by the evaluation unit from the power loss measurement signal and from the motion measurement signal. Preferably, the further step of determining a wear of the machine part with a wear sensor is also provided, wherein this determined wear is transmitted as a wear measurement signal to the evaluation unit, which additionally takes into account this wear measurement signal for the calculation of the damage indicator. All possible with respect to the device and in terms of the molding machine mentioned possible embodiments apply mutatis mutandis, as possible or preferred embodiments of the method for checking a state of a machine part of a molding machine. Further details and advantages of the present invention will be explained in more detail below with reference to the description of the figures with reference to the exemplary embodiments illustrated in the drawings. Show: 1 shows schematically a shaping machine with a device for checking a condition of a machine part, 2 shows a diagram of the power loss of the machine part along a time axis, Fig. 3 is a diagram of recorded via the acceleration sensor Frequency bands along a time axis, 4 shows a diagram with the composition of the damage indicator along a time axis, Fig. 5 is a diagram of the power loss measurement signal with threshold and FIG. 6 shows a diagram of the damage indicator with an influencing function, corresponding to FIG. 5. In Fig. 1 is a schematic forming machine 3 is shown. This has as (at least) a machine part 2 a ball screw 10. This ball screw 10 is composed at least of the spindle 8 and the spindle nut 9. Below the ball screw 10 is an oil pan 14th In the area of this oil pan 14, a power loss sensor 5 is provided for determining a power loss VL. In particular, this power loss sensor 5 may be a thermometer for determining the oil temperature. From the power loss sensor 5, a power loss measurement signal Mvl is forwarded to an evaluation unit 4. Furthermore, a wear sensor 7 for determining the wear VS of the machine part 2 is provided in the region of the oil pan 14. In particular, this wear sensor 7 may be a particle counter or an oil condition sensor. From wear sensor 7 is a wear measurement signal Mvs also to the Evaluation unit 4 forwarded. In or on the machine part 2, a movement sensor 6 for determining a movement B of the machine part 2 is arranged. In particular, this motion sensor 6 may be an acceleration sensor for detecting frequency bands. From the motion sensor 6, a motion measurement signal Mb is also transmitted to the evaluation unit 4. An ambient temperature sensor 11 can also be provided in order to measure the ambient temperature U and to forward a corresponding ambient temperature measurement signal Mu to the evaluation unit 4. Subsequently, a damage indicator S1 is calculated in the evaluation unit 4 from these input signals, which allows a (relatively) accurate statement about the actually present damage to the machine part 2. For this purpose, the power loss measurement signal Mvl and the ambient temperature measurement signal Mu are first combined to form an adjusted temperature measurement signal MT. From this adjusted temperature measurement signal Mt, a friction indicator RI is then calculated in the evaluation unit 4 via a stored algorithm. From the movement measurement signal Mb a wear indicator NI is calculated in the evaluation unit 4. The chipping indicator AI is calculated in the evaluation unit 4 from the closure measurement signal Mvs. Additionally or alternatively, this chipping indicator AI can also be calculated from the frequency peaks or pulse signals of the frequency bands of the motion sensor 6 (see dashed line in FIG. 1). Finally, from at least one of these indicators-preferably from all three indicators-friction indicator RI, wear indicator NI and chipping indicator AI, the damage indicator S1 is calculated on the basis of an algorithm stored in the evaluation unit 4. In Fig. 1, the power loss is shown only by a temperature signal, but in fact the power loss can also be determined from the additionally consumed drive power. This damage indicator Sl is then compared with the life of the manufacturer of the machine part 2, whereby the (probable) remaining life is fixed. If no manufacturer's information is available, the slope of the injury indicator may indicate a time for the predicted Failure (Sl = 1) can be specified. This damage indicator Sl (or the residual life derived therefrom) can then be displayed via a display device. In particular, this can be done via the display device 13 (screen) of the control unit 12 of the forming machine 3. However, it is also possible that the damage indicator S1 is output when a limit value is exceeded as an acoustic or visual warning signal W, preferably via the display device 13. It is also possible for the control unit 12 to control or regulate the shaping machine 3 as a function of the damage indicator S1 transmitted by the evaluation unit 4 to the control or regulation unit 12, preferably to switch off the machine part 2, to brake or to limit certain movements. At least one value which originates directly from the shaping machine 3 or from its control or regulation unit 12 can also be included in the calculation of the damage indicator S1. For example, at least one electrical signal of the forming machine 3 may represent a position P and / or a direction of movement R and / or a power consumption of the machine part 2. In FIG. 1, the motion sensor 6 and the power loss sensor 5 are formed or arranged separately from the evaluation unit 4. Unlike shown, these sensors can also be part of the evaluation unit 4. Fig. 2 shows in a diagram the adjusted temperature Mj. It can be seen from FIG. 2 that the power loss VL increases almost monotonically (or steadily) and does not break (slightly) until the end. It is sufficient for the detection of the damage indicator S1 if, in a certain interval, the adjusted temperature Mj exceeds a statistical value dependent on the interval (scatter, mean, median, etc.). (For this purpose, reference may be made in advance to FIG. 4: since the adjusted temperature Mt breaks again shortly before the time t6, the value for the friction indicator RI is also reduced.) 3 shows in three diagrams the signal amplitudes SA measured via the acceleration sensor in different frequency ranges. Different frequency bands (Band 1, Band 2 and Band 3) are examined or considered in isolation. 4, the different indicators are plotted along the time axis t. At the end of the time axis (almost exactly between ts and t6) the (in this case) steadily increasing chipping indicator AI, the friction indicator RI and the wear indicator NI add up to a damage indicator Sl, which then exceeds the threshold value L. This corresponds to a total failure in the present example. This evaluation of a measurement data set on a ball screw test stand extended over a sufficiently large number of test cycles, the number of test cycles corresponding to an average lifetime of the ball screw. The ball screw was heavily worn at the end or no longer usable. You can see a significant increase in temperature (greater friction), individual frequency peaks (chipping) or at the end of a general increase in vibration (wear). From the increase in the damage indicator S1, it is possible to infer the failure time tausfaii (corresponding to the time t6 or reaching the threshold value L) relatively early. In actual operation, countermeasures can already be taken or maintenance measures planned. Fig. 5 shows a plot of a record of a signal from a temperature sensor having several peaks (i.e., sudden rises and falls over a sufficiently smooth waveform). Only when such a signal peak exceeds the dashed line marked limit, this affects the influence function shown in Fig. 6 from. In general, it should be noted that the probability of an impact can also decrease once an indicator event has occurred. Fig. 6 shows an example of the effect probability in the indicator friction. After the machine part temperature exceeds the predefined limit value, it quickly degrades again. After falling below the limit, the effect probability decreases exponentially. After the engine part temperature exceeds the predefined limit (shown in FIG. 5), the Influence function set to 1, d. H. the indication has an influence on the overall indicator (see FIG. 4 after time t5). At the first overrun, therefore, the indicator is set to 1 to record the occurrence of this event. If the temperature falls below the limit again, the influence is not set to 0, but it begins to degrade according to an exponential function. Thus, the after-effect time of a damage event is modeled. Before the times t03 or t09, a renewed exceeding of the limit occurs, which is why the influence function is again set to 1. Finally, it can be stated that a significant innovation is the combination of power loss and movement (vibration). In addition, no attempt is made to simulate an exact mechanical or thermal model, but the frequency bands are analyzed for continuous increase (wear) or single excursions (chipping). An exemplary measurement result of a ball screw test stand is shown in FIG. 4. It can be clearly seen that wear is detected early on (in particular several weeks before the actual failure) and thus the failure can be predicted. Further measurements have shown that the fusion of temperature and vibration does not necessarily have to be sufficient, because in some tests the damage indicator S1 did not rise despite massive damage to the ball screw. Therefore, the use of the wear sensor is also recommended. This provides an output proportional to the number of ferromagnetic particles. Since these occur even with little wear on the ball screw, this sensor value further improves the damage indicator. List of Reference Numerals: 1 device 2 machine part 3 forming machine 4 evaluation unit 5 power loss sensor 6 motion sensor 7 wear sensor 8 spindle 9 spindle nut 10 ball screw 11 ambient temperature sensor 12 control or regulation unit 13 display device 14 oil pan VL power loss MVl power loss measurement signal B movement Mb motion measurement signal Sl Damage indicator VS Wear U Ambient temperature MT Adjusted temperature measurement signal Mu Ambient temperature measurement signal RI Friction indicator NI Wear indicator AI Chipping indicator P Position of the machine part R Direction of movement of the machine part W Warning signal L Threshold SA Signal amplitude Innsbruck, 3rd November 2015
权利要求:
Claims (22) [1] claims 1. Device (1) for checking a state of a machine part (2) of a shaping machine (3), with - an evaluation unit (4), - at least one power dissipation sensor (5) for determining a power loss (VL) in and / or on Machine part (2) representative power loss measurement signal (MVl), and - at least one motion sensor (6) for determining a movement of a (B) of the machine part (2) representative movement-measuring signal (Mb), wherein the evaluation unit (4) designed to is to calculate from the power loss measurement signal (Mvl) and from the motion measurement signal (Mb) a damage indicator (Sl) for the machine part (2). [2] 2. Device according to claim 1, with a wear sensor (7), preferably a particle counter or oil condition sensor, for determining the wear (VS) of the machine part (2), said determined wear (VS) as wear measurement signal (Mvs) to the evaluation unit (4 ), which additionally takes into account this wear measurement signal (MVs) for the calculation of the damage indicator (SI). [3] 3. Device according to claim 1 or 2, wherein the machine part (2) is a drive unit, preferably a ball screw (10), a shaping machine (3). [4] 4. Device according to one of claims 1 to 3, wherein the evaluation unit (4) is adapted to the power loss measurement signal (MVl) for a correction of an ambient temperature (U) representing ambient temperature measurement signal (Mu) to obtain a cleaned temperature measurement signal ( Mj). [5] 5. Apparatus according to claim 4, wherein an ambient temperature sensor (11) for measuring the ambient temperature (U) and for outputting the ambient temperature measuring signal (Mu) is provided on the forming machine or in the region of the forming machine. [6] 6. Device according to one of claims 1 to 5, wherein the movement sensor (6) is designed as a vibration sensor, as a speed sensor or as an acceleration sensor. [7] 7. Apparatus according to claim 6, wherein different vibration frequency ranges can be output as frequency bands with the acceleration sensor. [8] 8. The device according to claim 2 and / or claim 7, wherein the evaluation unit (4) from measured variables of the wear sensor (7) and / or from the features, preferably frequency peaks or pulse signal, the frequency bands calculates a chipping indicator (AI). [9] 9. Device according to one of claims 1 to 8, wherein the evaluation unit (4) from the power loss measurement signal (MVl), preferably from the adjusted temperature measurement signal (Mj), a friction indicator (RI) calculated. [10] 10. Device according to one of claims 1 to 9, wherein the evaluation unit (4) from the movement measurement signal (MB) calculates a wear indicator (NI). [11] 11. The device according to claim 8, 9 and 10, wherein the damage indicator (SI) from the chipping indicator (AI), the friction indicator (RI) and the wear indicator (NI) is composed. [12] 12. Device according to one of claims 1 to 11, wherein the evaluation unit (4) in addition from at least one electrical signal of the shaping machine (3) calculates the damage indicator (Sl). [13] 13. The apparatus of claim 12, wherein the at least one electrical signal of the forming machine (3) represents a position (P) and / or a direction of movement (R) of the machine part (2) of the forming machine (3). [14] 14. The apparatus of claim 12 or 13, wherein the at least one electrical signal of the forming machine (3) represents a temperature of a part, for example a spindle (8), the forming machine (3) and this signal in the determination of the power loss (VL ). [15] 15. Device according to one of claims 1 to 14, wherein the power loss sensor (5) as a temperature sensor for determining the waste heat or as a virtual sensor, the power loss (VL) from a difference between in the forming machine (3) fed and from the forming machine ( 3) determined power is formed, is formed. [16] 16 shaping machine (3), in particular injection molding machine or injection press, with a device (1) according to one of claims 1 to 15. [17] 17. Forming machine according to claim 16, wherein the shaping machine (3) has an evaluation unit (4) in signal-related connection control or regulating unit (12) for controlling or regulating the shaping machine (3). [18] 18. Forming machine according to claim 17, wherein the control unit (12) controls the shaping machine (3) as a function of the evaluation unit (4) to the control unit (12) transmitted damage indicator (Sl), and optionally the machine part (2) switches off. [19] 19. A shaping machine according to claim 17, wherein a warning signal can be output via the control or regulation unit as a function of the damage indicator transmitted from the evaluation unit to the control or regulation unit. when the transmitted damage indicator (SI) reaches a specified threshold (L). [20] 20. Forming machine according to one of claims 16 to 19, wherein the damage indicator (SI) via a display device (13) can be displayed. [21] 21. A method for checking a state of a machine part (2) of a forming machine (3), in particular with a device (1) according to one of claims 1 to 15, comprising the steps of: - determining a power loss (VL) in and / or on the machine part (2), - determining a movement (B) of the machine part (2), and - calculating a damage indicator (SI) for the machine part (2) by the evaluation unit (4) from the power loss (VL) and from the movement (B) , [22] 22. The method of claim 21, comprising the step of determining a wear (VS) of the machine part (2) with a wear sensor (7), wherein the wear (VS) for the calculation of the damage indicator (SI) is taken into account. Innsbruck, 3rd November 2015
类似技术:
公开号 | 公开日 | 专利标题 DE102013113311A1|2014-06-05|A numerical control machine tool having a function for determining the replacement time for a maintenance component DE102017003165A1|2017-10-12|A machine learning device and a machine learning method for learning the error prediction of a main shaft or a motor that drives the main shaft, and an error prediction device and an error prediction system comprising a machine learning device EP1423827B1|2008-06-11|Device and method for the early recognition and prediction of unit damage EP1607192B1|2012-10-10|Method and system for estimating the wear of robot arm joints DE102016005892A1|2016-11-24|Anomaly detecting device having a function of detecting an abnormality of a machine tool and an abnormality detecting method EP2083338B1|2019-06-19|Process and device for monitoring a machine DE102016006343A1|2016-12-01|A MOTOR CONTROLLER EQUIPPED WITH A FUNCTION FOR DETECTING ANOMALY BRAKES AND METHOD FOR DETECTING ANOMALY BRAKES DE112012005650T5|2014-10-09|Risk measurement system DE2203047B2|1978-01-12|DEVICE FOR MONITORING THE RUNNING QUALITY OF A PISTON OF A PISTON MACHINE DE602006000152T2|2008-02-07|Machine tool with means for monitoring an abnormal ambient temperature change DE102016106085A1|2016-10-13|Machine tool management system DE102014110612B3|2015-11-05|Method for detecting a bias residual rate DE10348608A1|2005-05-19|Production machine motor drive spindle has sensor ring detecting oscillation values and time-temperature profile DE102007048602A1|2008-09-11|A method for diagnosing abnormalities and apparatus therefor DE102014112263A1|2015-12-10|System and method for monitoring a preload in a ball screw DE102016123000B3|2017-12-14|Method for monitoring a protective glass and monitoring device DE60117049T2|2006-07-20|MACHINE STATE MONITORING DEVICE WITH CONTROL DEVICE DE112015005528T5|2017-09-14|Control device and method for determining the operational readiness of a device operated with a pressure medium DE102016001920A1|2016-08-25|Control device for reporting maintenance and inspection times of signal-controlled peripheral devices DE112017002300T5|2019-02-14|Anomaly Assessment Device and Anomaly Assessment Method EP2778817A1|2014-09-17|Monitoring of the initial equipment of a first technical system by means of benchmarks DE102005023205A1|2006-11-23|Determining degrees of roller or slide bearing wear/damage involves collecting lubricant and/or particles, measuring impurities in lubricant, generating signals from measurement values and evaluating signals to determine wear/damage AT517886B1|2018-05-15|Device for checking a state of a machine part EP3550277A1|2019-10-09|Method and device for evaluating service life of bearing DE4308246A1|1994-09-22|Method and device to increase the economic efficiency of processing machines
同族专利:
公开号 | 公开日 US10203677B2|2019-02-12| US20170131694A1|2017-05-11| AT517886B1|2018-05-15| DE102016005214A1|2017-05-11| CN106840624A|2017-06-13|
引用文献:
公开号 | 申请日 | 公开日 | 申请人 | 专利标题 GB1381288A|1971-02-11|1975-01-22|Package Machinery Co|Plastics injection moulding machine monitor| DE4447288A1|1993-12-30|1995-07-06|Caterpillar Inc|Machine condition monitoring and fault prediction system| US20080111264A1|2006-11-15|2008-05-15|Husky Injection Molding Systems Ltd.|Vibration Based Injection Molding Machine Damage Detection and Health Monitoring| EP2244080A1|2009-04-23|2010-10-27|Baumüller Reparaturwerk GmbH & Co. KG|Method for monitoring the status of bearings of permanently excited synchronous machines and accompanying status monitoring device| AT13307U1|2012-02-28|2013-10-15|Engel Austria Gmbh|Method for diagnosing damage and / or incorrect settings in an injection molding machine| DE102014104637A1|2014-04-02|2015-10-08|Harting Kgaa|Intelligent monitoring of production machines| US3935675A|1973-07-26|1976-02-03|Landis Tool Company|Machine tool fault indicator| US5058434A|1990-02-27|1991-10-22|Carl Schenck Ag|Process for early detection of damage to machine parts| US5062785A|1990-06-15|1991-11-05|Allen-Bradley Company, Inc.|Injection molding controller with process variable learning| US5993039A|1997-03-26|1999-11-30|Avalon Imagining, Inc.|Power-loss interlocking interface method and apparatus| DE10144459A1|2001-09-10|2003-04-03|Werner Kluft|Monitoring machine tool components with a monitoring system| US6840082B2|2001-11-30|2005-01-11|Paul R. Evans|Machine for testing wear, wear-preventative and friction properties of lubricants and other materials| DE20302454U1|2003-02-15|2003-04-17|Perma Tec Gmbh & Co Kg|Measuring device for early detection of damage to a machine part| WO2006030786A1|2004-09-13|2006-03-23|Nsk Ltd.|Abnormality diagnosis device and abnormality diagnosis method| US7495759B1|2007-10-23|2009-02-24|Asm Assembly Automation Ltd.|Damage and wear detection for rotary cutting blades| US8522604B2|2008-10-31|2013-09-03|The University Of Akron|Metal wear detection apparatus and method employing microfluidic electronic device| CN101696906A|2009-10-28|2010-04-21|上海电机学院|Multi-source information fusion based state monitoring system and method of wind-driven generator| DE102014209032A1|2014-01-27|2015-07-30|Robert Bosch Gmbh|Machine tool device| CN104977047A|2015-07-22|2015-10-14|中国长江三峡集团公司|Wind turbine online condition monitoring and health assessment system and method thereof based on vibration and oil|EP3546184B1|2018-03-30|2020-11-04|Sumitomo Heavy Industries, Ltd.|Injection molding data management device and injection molding machine|
法律状态:
优先权:
[返回顶部]
申请号 | 申请日 | 专利标题 ATA710/2015A|AT517886B1|2015-11-05|2015-11-05|Device for checking a state of a machine part|ATA710/2015A| AT517886B1|2015-11-05|2015-11-05|Device for checking a state of a machine part| DE102016005214.7A| DE102016005214A1|2015-11-05|2016-04-28|Device for checking a state of a machine part| US15/342,505| US10203677B2|2015-11-05|2016-11-03|Apparatus for checking a state of a machine part| CN201611272953.9A| CN106840624A|2015-11-05|2016-11-04|The device and method of the state of inspection machine part and the forming machine including the equipment| 相关专利
Sulfonates, polymers, resist compositions and patterning process
Washing machine
Washing machine
Device for fixture finishing and tension adjusting of membrane
Structure for Equipping Band in a Plane Cathode Ray Tube
Process for preparation of 7 alpha-carboxyl 9, 11-epoxy steroids and intermediates useful therein an
国家/地区
|