JP4529602B2 - Abnormality diagnosis apparatus and abnormality diagnosis method - Google Patents

Description

  The present invention relates to an abnormality diagnosing device and an abnormality diagnosing method for diagnosing abnormalities in a plurality of rotating parts used in, for example, an axle of a railway vehicle, a gear box, or a reduction gear of a wind turbine for power generation.

  Conventionally, after rotating parts such as railway vehicles and wind turbines for power generation are used for a certain period, bearings and other rotating parts are regularly inspected for abnormalities such as damage and wear. This periodic inspection is carried out by disassembling the mechanical device in which the rotating parts are incorporated, and the person in charge finds damage and wear generated in the rotating parts by visual inspection. And the main defects found in the inspection are in the case of bearings, indentations caused by the biting of foreign matter, peeling due to rolling fatigue, other wear, etc., in the case of gears, missing teeth and wear, etc. In the case of a wheel, there is wear such as a flat, and in any case, if irregularities or wear that is not found in a new article is found, it is replaced with a new one.

  In addition, as an example of diagnosing abnormalities of rotating parts in the actual operating state without disassembling the mechanical apparatus in which the rotating part is incorporated, the state of the mechanical apparatus is constantly measured with a vibration sensor or a temperature sensor, etc. A method has been proposed for determining whether or not there is an abnormality based on whether or not the value has risen above a preset value, and in the case of an abnormality determination, outputting an abnormality alarm or stopping the operation of the device. (For example, refer to Patent Document 1).

Also, in railway vehicles, when the temperature detected by the temperature sensor mounted on the bearing box rises above a preset value, an abnormal signal is issued to the cab or the temperature is measured from the ground side. A method for monitoring an abnormality of a bearing has been proposed (for example, see Patent Document 2).
Japanese Patent Laid-Open No. 11-125244 JP 9-79915 A

  However, in Patent Document 1 and Patent Document 2, the presence / absence of an abnormality is determined based on whether or not a measurement value by a vibration sensor, a temperature sensor, or the like has risen to a predetermined value or more set in advance. In such a case, the degree of damage to the rotating parts has already become so severe that it cannot be used continuously, and there is a problem that the machine must be stopped urgently.

  In addition, even if an abnormal alarm is issued and the operation of the machine is stopped, it is not possible to identify the abnormal part or abnormal part, or a malfunction occurs due to sudden disturbance noise, etc. There is a problem that the stable operation is hindered by, for example.

  Further, in a mechanical apparatus using a large amount of rotating parts, the rotating parts may be used even if the internal design specifications are different as long as the inner and outer diameters, width dimensions, etc. of the rotating parts are the same. In this case, if the design specifications of the bearing are different, the alarm level setting value that notifies the bearing abnormality is also different, so parts with the same specifications may be incorporated in a specific part, but the work efficiency during assembly is poor. There is a problem of becoming.

  The present invention has been made in view of the above-described circumstances, and an object of the present invention is to disassemble a device in which the rotating component is incorporated even if a rotating component having a different design specification is incorporated in an arbitrary part. It is an object of the present invention to provide an abnormality diagnosis device and an abnormality diagnosis method that can identify the presence / absence of an abnormality of a rotating part and an abnormal part or part in an actual operation state.

The object of the present invention is achieved by the following constitution.
(1) An abnormality diagnosis device for diagnosing an abnormality of a plurality of rotating parts that rotate relative to a stationary member,
At least one vibration system sensor of a vibration sensor, an acoustic sensor, an ultrasonic sensor, and an AE sensor fixed to the rotating component or the stationary member;
The frequency component resulting from damage of the rotating component calculated based on the rotation speed signal and the frequency component of the measured data based on the signal waveform detected by the vibration system sensor are compared for each of the plurality of rotating components having different design specifications. A comparison verification unit to
An abnormality diagnosis apparatus comprising: an abnormality determination unit that identifies presence / absence of abnormality of the rotating component and an abnormal component and part based on a comparison result in the comparison / collation unit.
(2) a filter processing unit for removing an unnecessary frequency band from the signal waveform detected by the vibration system sensor;
An envelope processing unit for detecting the absolute value of the filtered waveform transferred from the filter processing unit;
The abnormality diagnosis device according to (1), further comprising a frequency analysis unit that analyzes a frequency of the waveform transferred from the envelope processing unit.
(3) The vibration system sensor and at least one of the temperature sensor and the rotational speed sensor each include an integrated sensor housed in a single casing (1) or (2) ) Abnormality diagnosis device.
(4) The abnormality diagnosis apparatus according to (3), wherein the stationary member is a bearing box, and the integrated sensor is fixed to a flat portion of the bearing box.
(5) The abnormality diagnosis apparatus according to any one of (1) to (4), further including data transmission means for transmitting a determination result by the abnormality determination unit.
(6) The present invention includes a microcomputer that performs analysis processing based on a detection signal from the sensor and outputs a determination result from the abnormality determination unit to a control system (1) to (5) The abnormality diagnosis device according to any one of the above.
(7) The abnormality diagnosis apparatus according to any one of (1) to (6), wherein the rotating component is for a railway vehicle.
(8) The abnormality diagnosis device according to any one of (1) to (6), wherein the rotating component is for a reduction gear.
(9) An abnormality diagnosis method for diagnosing an abnormality of a plurality of rotating parts that rotate relative to a stationary member,
A detection step of detecting at least one signal of vibration, sound, ultrasonic wave, and AE of the rotating component or the stationary member;
The frequency component resulting from damage for each of the plurality of rotating parts calculated based on the rotation speed signal and the frequency component of the measured data based on the signal waveform detected by the detection step are determined for each of the rotating parts having different design specifications. A comparison process to compare;
An abnormality diagnosis method comprising: a specifying step for specifying presence / absence of an abnormality of the rotating component and a damaged portion based on a comparison result in the comparison step.

  According to the present invention, since the presence or absence of abnormality and the diagnosis of abnormal parts and parts are performed for each of a plurality of rotating parts having different design specifications, rotating parts having different design specifications can be incorporated into arbitrary parts. However, the presence or absence of abnormality of the rotating component and the abnormal component or part can be specified in the actual operation state without disassembling the mechanical device in which the rotating component is incorporated.

  Also, the frequency component resulting from damage to the rotating component calculated based on the rotational speed signal and the frequency component of the measured data based on the signal waveform detected by the vibration system sensor are compared for each of the rotating components having different design specifications. Therefore, it is possible to prevent misdiagnosis due to the influence of sudden disturbance noise, etc., and to perform highly reliable abnormality diagnosis, and it is highly accurate for mechanical devices that use multiple rotating parts with different design specifications Abnormal diagnosis can be performed.

  Furthermore, it is possible to save the trouble of having to install rotating parts with the same dimensions and the same specifications as in the past, and it is possible to diagnose even if rotating parts with the same dimensions and different specifications are incorporated. As a result, work efficiency is improved and efficient maintenance becomes possible.

  Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. Here, FIG. 1 is a cross-sectional view of a rolling bearing device for a railway vehicle provided with a double row tapered roller bearing that is a diagnosis target of the abnormality diagnosis device according to an embodiment of the present invention, and FIG. 2 is a conceptual diagram of the abnormality diagnosis device. FIG. 3 is a flowchart showing the processing flow of the abnormality diagnosis device, FIG. 4 is a diagram showing the relationship between the scratched portion of the rolling bearing and the characteristic frequency generated due to the scratch, and FIG. 5 is the abnormality occurring due to the meshing of the gears. FIGS. 6 and 7 are diagrams for showing the vibration frequency, and FIG. 6 and FIG. 7 show the envelope frequency spectrum based on the actually measured vibration signals in a plurality of bearings A to F having different design specifications and the outer ring damage (peeling) based on the design specifications of each bearing. It is a graph which shows the relationship with the frequency component (band | zone) resulting from this.

  As shown in FIG. 1, a rolling bearing device 10 for a railway vehicle to which an abnormality diagnosis device is applied is a double-row tapered roller bearing 11 that is a rotating part, and a stationary member that constitutes a part of the railway vehicle carriage. A certain bearing box 12 is provided.

  The double-row tapered roller bearing 11 rotatably supports an axle 13 of a railway vehicle, which is a rotating shaft, and has a pair of inner rings 14, 14 having inner ring raceway surfaces 15, 15 inclined on the outer circumferential surface of the tapered outer surface. A single outer ring 16 having a pair of outer ring raceway surfaces 17, 17 inclined like a conical inner surface on the inner peripheral surface, inner ring raceway surfaces 15, 15 of the inner rings 14, 14, and outer ring raceway surfaces 17, 17 of the outer ring 16, A plurality of tapered rollers 18 that are arranged in multiple rows between each other, annular punching retainers 19 and 19 that hold the tapered rollers 18 in a freely rollable manner, and both axial ends of the outer ring 16 are mounted. A pair of sealing members 20, 20.

  The bearing box 12 includes a housing 21 that constitutes a side frame of a railcar bogie. The housing 21 is formed in a cylindrical shape so as to cover the outer peripheral surface of the outer ring 16. A front lid 22 is disposed on the front end side in the axial direction of the housing 21, and a rear lid 23 is disposed on the rear end side in the axial direction of the housing 21.

  An inner ring spacer 24 is disposed between the pair of inner rings 14, 14. The axle 13 is press-fitted into the pair of inner rings 14, 14 and the inner ring spacer 24, and the outer ring 16 is fitted in the housing 21. The double row tapered roller bearing 11 is loaded with a radial load due to the weight of various members and an arbitrary axial load, and the upper portion in the circumferential direction of the outer ring 16 is a load zone. Here, the load zone refers to a region where a load is applied to the rolling elements.

  One seal member 20 disposed on the front end portion side of the axle 13 is assembled between the outer end portion of the outer ring 16 and the front lid 22, and the other seal member 20 disposed on the rear end portion side is disposed on the outer ring. 16 is assembled between the outer end portion of 16 and the rear lid 23.

  A concave portion 26 is formed at a substantially central position in the axial direction of the double-row tapered roller bearing 11 on the outer peripheral portion of the housing 21, and an abnormality detection sensor 31 that constitutes a part of the abnormality diagnosis device is housed in the concave portion 26. It is fixed while being housed in the body.

  The abnormality detection sensor 31 is a vibration system sensor capable of detecting at least one of a vibration sensor, an AE (acoustic emission) sensor, an acoustic sensor, and an ultrasonic sensor, a temperature sensor, and a rotation speed sensor. This is a composite sensor that can be housed and fixed in a housing. In the abnormality detection sensor 31 of FIG. 1, a vibration sensor 32 and a temperature sensor 33 are housed and fixed integrally in a housing.

  The vibration sensor 32 is a vibration measuring element such as a piezoelectric element, and detects peeling of the inner and outer ring raceway surfaces 15, 15, 17, 17 of the double row tapered roller bearing 11, a missing gear, flat wear of the wheel, and the like. Used for. The vibration sensor 32 may be an acceleration, speed, displacement type, or the like that can convert vibration into an electrical signal. When the vibration sensor 32 is attached to a mechanical device having a lot of noise, the use of an insulation type is more affected by noise. It is preferable because it is less likely to receive.

  The temperature sensor 33 is a non-contact type temperature measuring element such as a thermistor temperature measuring element, a platinum resistance temperature detector, or a thermocouple. As the temperature sensor 33, when the ambient temperature exceeds a specified value, a temperature fuse that does not conduct when the bimetal contact is separated or the contact is blown can be used. In that case, when the temperature of the apparatus exceeds a specified value, the temperature abnormality is detected by blocking the conduction of the thermal fuse.

  In addition, the abnormality detection sensor 31 is attached to the radial load area of the bearing housing 12 fitted to the non-rotating side race of the double row tapered roller bearing 11. For this reason, for example, when the bearing raceway surface is damaged, the collision force generated when the rolling element passes through the damaged portion is larger in the load area than in the no-load area, and the bearing load area is more sensitive. Abnormal vibration can be detected.

  In the present embodiment, as shown in FIG. 2, the vibration sensor 32 detects vibrations of a plurality of double-row tapered roller bearings 11 having different design specifications, as well as wheels and gears (both not shown). Then, the detected vibration signal is sent to the arithmetic processing unit 50 via the signal transmission means 34.

  The arithmetic processing unit 50 includes a filter processing unit 37, a natural frequency storage unit 38, an envelope processing unit 39, a frequency analysis unit 40, a theoretical frequency calculation unit 41, a comparison / collation unit 43, and an abnormality determination unit 44.

  The filter processing unit 37 receives the vibration signal after amplification and A / D conversion detected by the vibration sensor 32 and transferred via the signal transmission means 34. Then, the filter processing unit 37 sets the natural frequency stored in the natural frequency storage unit 38 to any natural frequency such as a double-row tapered roller bearing 11, a gear, a wheel, or a stationary member (for example, a bearing box) that is a rotating part. Based on this, only a predetermined frequency band corresponding to the natural frequency is extracted from the vibration signal, and unnecessary frequency bands are removed. The amplification and A / D conversion of the vibration signal may be performed before transmission, and the order of amplification and A / D conversion may be reversed.

  This natural frequency is determined by subjecting the double-row tapered roller bearing 11, gears, wheels, and the like to the object to be measured, by exciting the vibration by a striking method and analyzing the frequency of the sound generated by the vibration detector or the striking attached to the object to be measured. Can be easily obtained. When the object to be measured is a double-row tapered roller bearing, a natural frequency due to any of the inner ring, outer ring, rolling element, cage, etc. is given. In general, there are a plurality of natural frequencies of mechanical parts, and the amplitude level at the natural frequencies is high, so the sensitivity of measurement is good.

  The envelope processing unit 39 performs absolute value detection processing for detecting the absolute value of the waveform for the predetermined frequency band extracted by the filter processing unit 37. Then, the frequency analysis unit 40 analyzes the frequency of the waveform transferred from the envelope processing unit 39, and transfers the actual measurement data serving as a reference value as to whether there is an abnormality to the comparison / collation unit 43.

  On the other hand, the theoretical frequency calculation unit 41 is based on the rotational speed information 42 obtained by a rotational speed sensor (not shown), and the frequency component (band) caused by damage to each rotating component such as bearing separation, gear loss, wheel flatness, etc. ) And the calculated value data is transferred to the comparison and collation unit 43. The comparison and collation unit 43 performs comparison and collation of the measured value data by the frequency analysis unit 40 and the calculation value data by the theoretical frequency calculation unit 41 for each rotating part having different design specifications in order. Furthermore, the abnormality determination unit 44 performs presence / absence of vibration abnormality, identification of an abnormal rotating part, and identification of an abnormal part based on the comparison result in the comparison / collation unit 43.

  Then, the determination result in the abnormality determination unit 44 is transmitted to the result output unit 45 via the data transmission unit 46. When an abnormality is detected, the result output unit 45 issues an alarm such as an alarm or takes the determination result into the storage unit. The data transmission means 46 may be wired or wireless.

  Next, a specific example of the abnormality diagnosis processing flow based on the vibration signal will be described with reference to FIG.

  First, the vibration sensor 32 detects the vibration of each rotating component (step S101). The detected vibration signal is amplified at a predetermined amplification factor, converted into a digital signal by an A / D converter (step S102), and the natural frequency of either the predetermined rotating component or the stationary member by the filter processing unit 37. A filter process for extracting only a predetermined frequency band corresponding to is performed (step S103). Thereafter, the envelope processing unit 39 performs envelope processing on the digital signal after the filter processing (step S104), and the frequency analysis unit 40 obtains the frequency spectrum (sound pressure level) of the digital signal after the envelope processing (step S105). .

Next, the effective value of the digital signal of the actual measurement value data obtained by the frequency analysis unit 40 is calculated (step S106), and further, based on the effective value, a reference value (sound pressure level (dB)) used for abnormality diagnosis ) Is calculated (step S107). Here, the effective value is obtained as the square root of the root mean square of the frequency spectrum after the envelope processing. The reference value is calculated based on the effective value based on the following formula (1) or (2).
(Reference value) = (effective value) + α (1)
(Reference value) = (effective value) × β (2)
α, β: Predetermined values that vary depending on the type of data

  On the other hand, from the relational expressions shown in FIGS. 4 and 5, etc., the (theoretical) frequency generated due to the abnormality of each rotating component is obtained based on the rotation speed signal (step S108), and each rotating component corresponding to the obtained frequency is obtained. (In the case of a bearing, the sound pressure level in the abnormal frequency band of the inner ring, outer ring, rolling element, cage), that is, the flaw component Sx (inner ring flaw component Si (Zfi), outer ring flaw component So (Zfc), The moving body scratch component Sb (2fb) and the cage component Sc (fc)), the scratch component Sg corresponding to the meshing of the gears, and the sound pressure level in the abnormal frequency band of the wear of the rotating body such as wheels and the unbalance component Sr are extracted. (Step S109), the comparison with the reference value calculated in Step S107 is performed in turn for each rotating component having a different design specification (Step S110). The frequency calculation may be performed before this, or the data may be used when a similar diagnosis has been performed previously. Further, design specification data of each rotating part used for calculation is input and stored in advance.

  In step S110, if the value of the sound pressure level in the abnormal frequency band (Sx, Sg, Sr) of the rotating component is smaller than the reference value, the sound pressure in the abnormal frequency band of another rotating component with different design specifications. Extract levels and compare again. If the value of the sound pressure level in the abnormal frequency band (Sx, Sg, Sr) of all the rotating parts is smaller than the reference value (step S111), it is determined that no abnormality has occurred in each rotating part. (Step S112), if the sound pressure level in the abnormal frequency band of any of the rotating parts is greater than or equal to the reference value, it is determined that an abnormality such as a scratch or peeling has occurred in the corresponding rotating part or bearing component. (Step S113) and the determination result is output to an alarm device or the like (Step S114).

  In the abnormality diagnosis as described above, for example, in a mechanical device using a plurality of rotating parts, when three types of rotating parts having different design specifications are randomly incorporated in an arbitrary part, Design specifications are entered or stored in advance, compared with frequency components based on parts of the first type of design specifications, and then compared with frequency components based on parts of the second type of design specifications In addition, the comparison with frequency components based on the parts of the third type of design specifications is performed, and the presence / absence of abnormality and the abnormal parts are specified based on the individual verification results, and are output and displayed.

  The arithmetic processing unit 50 can use, for example, a microcomputer or a dedicated microchip, and performs analysis processing based on detection signals from the vibration sensor 32 and the temperature sensor 33 to determine from the abnormality determination unit 44. Processing to output the result to the control system is performed. The detected signal may be subjected to arithmetic processing after being stored in a storage means such as a memory of the arithmetic processing unit 50.

  As described above, in this embodiment, since there is a plurality of double row tapered roller bearings 11 having different design specifications, rotating parts such as gears and wheels, the presence / absence of abnormality and the diagnosis of abnormal parts and parts are performed. Even when a double-row tapered roller bearing 11 or the like having different specifications is incorporated in any part, the rolling bearing device 10 for a railway vehicle in which the double-row tapered roller bearing 11 is incorporated can be used in an actual operation state without being disassembled. It is possible to identify the presence or absence of abnormalities in rotating parts and the parts and parts that are abnormal.

  Further, the frequency component resulting from the damage of the rotating component calculated based on the rotation speed signal and the frequency component of the measured data based on the signal waveform detected by the vibration sensor 32 are compared for each of a plurality of rotating components having different design specifications. Therefore, it is possible to prevent erroneous diagnosis due to the influence of sudden disturbance noise or the like and perform highly reliable abnormality diagnosis. As a result, a highly accurate abnormality diagnosis can be performed on the rolling bearing device 10 for railway vehicles in which a plurality of rotating parts having different design specifications are used.

  In addition, the trouble of having to install rotating parts with the same dimensions and the same design specifications as in the past can be saved, and even if rotating parts with the same dimensions and different design specifications are incorporated, abnormality diagnosis Therefore, work efficiency is improved and efficient maintenance is possible.

In addition, this invention is not limited to the said embodiment, In the range which does not deviate from the summary of this invention, it can change suitably.
For example, in the present embodiment, a double row tapered roller bearing or the like incorporated in a rolling bearing device for a railway vehicle is exemplified as a plurality of rotating parts, but instead, a plurality of rolling bearings incorporated in a reduction gear of a wind turbine for power generation is used. The present invention may be applied to a rotating component such as a gear or a gear as an abnormality diagnosis target.
In addition, the rotating component of the present embodiment is not limited to a rolling bearing, a gear, or an axle, and may be a component that generates periodic vibration due to damage.

  Furthermore, in this embodiment, a plurality of vibration sensors are prepared for each rotating component to be diagnosed, and the frequency component of the measured data based on the signal waveform from each vibration sensor is the frequency caused by the damage of the corresponding rotating component. Compare the components, but if the specifications of each rotating component are all different, use a single vibration sensor for all the rotating components and use the frequency component of the measured data based on the signal waveform from this vibration sensor. On the other hand, it is also possible to detect abnormal rotating parts by sequentially comparing each frequency component resulting from damage of each rotating part.

  Next, referring to FIG. 6 and FIG. 7, a specific example of abnormality diagnosis of a rotating part using the abnormality diagnosis apparatus of the present invention will be shown.

In the test, only one of the three types (A, B, C) of tapered roller bearings with the same inner and outer diameters but different internal design specifications has defects in the outer ring raceway surface. incorporation was detected by a piezoelectric Isolated acceleration sensor attached to the housing the vibration generated when rotating the inner ring at 300 min ^-1, and the signal after amplification and compared to frequency analysis (envelope analysis).

  FIG. 6 shows the result of frequency analysis after envelope processing of the vibration of the housing when the three types of bearings A, B, and C are rotated. Here, the solid line in each figure is the envelope frequency spectrum based on the actually measured vibration data, and the dotted line shows the frequency component (band) resulting from the outer ring damage based on the design specifications of the individual bearings stored in advance.

  From each figure, for bearing A and bearing C, there is no significant peak on the frequency component (dotted line) due to outer ring damage based on each design specification, but bearing B has a significant peak in the measured spectrum. It can be seen that these peaks all coincide with the frequency component (dotted line) resulting from the outer ring damage. Thereby, it can be seen that the bearing of the design specification of the bearing B is incorporated in this portion, and the outer ring is damaged.

Next, only one type of three types (D, E, F) tapered roller bearings with the same inner and outer diameter dimensions but different internal design specifications have defects in the outer ring raceway surface, and individual bearings are incorporated into the housing. The vibration generated when the inner ring was rotated at 300 min ⁻¹ was detected by a piezoelectric insulation type acceleration sensor attached to the housing, and the amplified signal was compared by frequency analysis (envelope analysis).

  FIG. 7 shows the result of frequency analysis after envelope processing of the vibration of the housing when a bearing with a defective outer ring raceway surface is rotated, and the outer ring based on the design specifications of three types of bearings D, E, and F. It is the result collated with the frequency component resulting from damage. Here, as described above, the solid line in each figure is an envelope frequency spectrum based on vibration data measured for a bearing with a defect on the outer ring raceway surface, and the dotted line is an outer ring based on design specifications of individual bearings stored in advance. The frequency component (band) resulting from damage is shown.

  From FIG. 7, the peak of the bearing with a defect on the outer ring raceway surface coincides with the frequency component (dotted line) of the outer ring damage having the design specifications of the bearing F. The bearing F can be specified.

It is sectional drawing of the rolling bearing apparatus for rail vehicles provided with the double row tapered roller bearing which is a diagnostic object of the abnormality diagnosis apparatus which is one Embodiment of this invention. It is a block diagram of the signal processing system of the abnormality diagnosis apparatus which is one Embodiment of this invention. It is a flowchart which shows the processing flow of the abnormality diagnosis apparatus which is one Embodiment of this invention. It is a figure which shows the relationship between the site | part of the damage | wound of a rolling bearing, and the characteristic frequency which arises resulting from a damage | wound. It is a figure for demonstrating the relational expression of the abnormal vibration frequency which generate | occur | produces by meshing | engagement of a gearwheel. It is a graph which shows the relationship between the envelope frequency spectrum based on the vibration signal actually measured of each bearing, and the frequency component (band) resulting from the outer ring damage (peeling) based on the design specifications of each bearing. About A, (b) is a graph about the bearing B, (c) is a graph about the bearing C. This graph shows the collation relationship between the envelope frequency spectrum based on the measured vibration signal of the bearing with a defect on the outer ring raceway surface and the frequency component (band) due to outer ring damage (separation) based on the design specifications of each bearing. There are graphs in which (a) is a bearing D, (b) is a bearing E, and (c) is a collation with a frequency component of an outer ring damage flaw based on design specifications.

Explanation of symbols

11 Double-row tapered roller bearings for rolling stock (rotary parts)
12 Bearing box (stationary member)
27 Flat part 31 Abnormality detection sensor (integrated sensor)
32 Vibration sensor (vibration system sensor)
33 Temperature sensor 37 Filter processing unit 39 Envelope processing unit 40 Frequency analysis unit 43 Comparison verification unit 44 Abnormality determination unit 45 Result output unit

Claims (9)

An abnormality diagnosis device for diagnosing an abnormality of a plurality of rotating parts that rotate relative to a stationary member,
At least one vibration system sensor of a vibration sensor, an acoustic sensor, an ultrasonic sensor, and an AE sensor fixed to the rotating component or the stationary member;
The frequency component resulting from damage of the rotating component calculated based on the rotation speed signal and the frequency component of the measured data based on the signal waveform detected by the vibration system sensor are compared for each of the plurality of rotating components having different design specifications. A comparison verification unit to
An abnormality diagnosis apparatus comprising: an abnormality determination unit that identifies presence / absence of abnormality of the rotating component and an abnormal component and part based on a comparison result in the comparison / collation unit. A filter processing unit for removing unnecessary frequency bands from the signal waveform detected by the vibration system sensor;
An envelope processing unit for detecting the absolute value of the filtered waveform transferred from the filter processing unit;
The abnormality diagnosis apparatus according to claim 1, further comprising a frequency analysis unit that analyzes a frequency of a waveform transferred from the envelope processing unit.   3. The abnormality according to claim 1, wherein at least one of the vibration system sensor, the temperature sensor, and the rotation speed sensor includes an integrated sensor housed in a single housing. Diagnostic device.   The abnormality diagnosis apparatus according to claim 3, wherein the stationary member is a bearing box, and the integrated sensor is fixed to a flat portion of the bearing box.   The abnormality diagnosis apparatus according to claim 1, further comprising a data transmission unit configured to transmit a determination result by the abnormality determination unit.   6. The microcomputer according to claim 1, further comprising a microcomputer that performs analysis processing based on a detection signal from the sensor and outputs a determination result from the abnormality determination unit to a control system. Abnormality diagnosis device.   The abnormality diagnosis apparatus according to claim 1, wherein the rotating component is for a railway vehicle.   The abnormality diagnosis apparatus according to claim 1, wherein the rotating component is for a speed reducer. An abnormality diagnosis method for diagnosing an abnormality in a plurality of rotating parts rotating relative to a stationary member,
A detection step of detecting at least one signal of vibration, sound, ultrasonic wave, and AE of the rotating component or the stationary member;
The frequency component resulting from damage for each of the plurality of rotating parts calculated based on the rotation speed signal and the frequency component of the measured data based on the signal waveform detected by the detection step are determined for each of the rotating parts having different design specifications. A comparison process to compare;
An abnormality diagnosis method comprising: a specifying step for specifying presence / absence of an abnormality of the rotating component and a damaged portion based on a comparison result in the comparison step.

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