JP2017058212A - Shaft bearing abnormality diagnosing apparatus, and railroad vehicle - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a shaft bearing abnormality diagnosing apparatus that can help enhance the reliability of abnormality diagnosis of a shaft bearing for axle.SOLUTION: A shaft bearing abnormality diagnosing apparatus 4 is equipped with a threshold memory 440 that stores RMS values (thresholds for diagnosis) for abnormality diagnosis by which the presence or absence of any sign of abnormality in an object shaft bearing 330 (railroad vehicle shaft bearing 330) is diagnosed by association with a combination of multiple sections set by partitioning the running route of railroad vehicles 1 and the running speeds of the railroad vehicles 1. And an abnormality diagnosing unit 463 performs abnormality diagnosis by comparing the RMS values (thresholds for diagnosis) associated with the combination of a section specified by a section identifier 462 and the running speeds detected by a running speed detector 410 out of the RMS values (thresholds for diagnosis) stored in the threshold memory 440 with RMS values (vibration values) calculated by a vibration value calculator 461.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a bearing abnormality diagnosis device and a vehicle.

  Conventionally, as a bearing abnormality diagnosis device, for example, there is a technique described in Patent Document 1. In the technique described in Patent Document 1, the data of the axle bearing is acquired and analyzed during traveling of the vehicle, and the abnormality of the axle bearing is immediately diagnosed. Thereby, the abnormality of the axle bearing can be detected at an early stage.

JP 2012-98253 A

However, in the prior art described in Patent Document 1, since the calculation load required for the analysis is high, an arithmetic device with high arithmetic capability is required, and the device may be expensive. On the other hand, for example, there is also a technique for comparing a numerical value representing the magnitude of vibration such as RMS (root mean square) with a threshold value to diagnose an abnormality of the axle bearing. According to this technique, it is possible to execute even an arithmetic device having a relatively low arithmetic capability, and it is possible to suppress the device from becoming expensive. However, if the vibration value increases due to unevenness of the travel route or the like, the reliability of the abnormality diagnosis of the axle bearing may be lowered.
An object of the present invention is to provide a bearing abnormality diagnosis device and a vehicle capable of improving the reliability of abnormality diagnosis of an axle bearing, focusing on the above points.

  In order to solve the above-described problem, an aspect of the present invention detects a vibration of a travel speed detection unit that detects a travel speed of a vehicle, a vehicle position detection unit that detects a current position of the vehicle, and an axle bearing of the vehicle. A vibration detection unit, a vibration value calculation unit for calculating a vibration value indicating the magnitude of vibration of the axle bearing based on the vibration detected by the vibration detection unit, and a plurality of sections set by dividing the travel route of the vehicle , And a threshold storage unit that stores a diagnostic threshold value for abnormality diagnosis for diagnosing the presence or absence of abnormality in the axle bearing or occurrence of abnormality in association with a combination of vehicle traveling speeds, and vehicle position detection Based on the current position detected by the section, the section specifying section for specifying the section in which the vehicle is traveling, and the section specified by the section specifying section among the diagnostic threshold values stored in the threshold storage section, and the traveling speed detection Corresponding to the traveling speed detected by the It is provided with a diagnostic threshold that is compared with the vibration value calculated by the vibration value calculating unit, and an abnormality diagnosis unit for performing abnormality diagnosis. As a vehicle, a rail vehicle and a motor vehicle are mentioned, for example. Examples of the axle bearing include a railway vehicle bearing that supports the axle of the railway vehicle, and a wheel bearing that is interposed between the axle of the automobile and the hub.

  According to one aspect of the present invention, for example, when the vehicle is traveling in a section where the vibration value increases due to unevenness of the travel route, the abnormality of the axle bearing is detected using the diagnosis threshold value considering the increase of the vibration value. Diagnosis can be made. Therefore, the reliability of abnormality diagnosis of the axle bearing can be improved.

It is a conceptual diagram showing schematic structure of a railway vehicle and a bearing abnormality diagnostic apparatus. It is explanatory drawing for demonstrating a diagnostic table. It is a flowchart showing the abnormality diagnosis process which an arithmetic unit performs. It is explanatory drawing for demonstrating the abnormality diagnosis procedure of the bearing for railway vehicles. It is a sequence diagram showing operation | movement of a bearing abnormality diagnostic apparatus.

Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
The present embodiment is applied to a bearing abnormality diagnosis device 4 that detects vibration of a railway vehicle bearing while the railway vehicle 1 is traveling and performs abnormality diagnosis of the railway vehicle bearing based on the detected vibration.
The following embodiments exemplify apparatuses and methods for embodying the technical idea of the present invention, and the technical idea of the present invention includes the shape, structure, arrangement, etc. of components. It is not specified to the following. The technical idea of the present invention can be variously modified within the technical scope defined by the claims described in the claims.

(Constitution)
As shown in FIG. 1, the railway vehicle 1 includes a vehicle body 2, a carriage 3 that supports the vehicle body 2, and a bearing abnormality diagnosis device 4 that performs abnormality diagnosis of a railway vehicle bearing 330 (described later) of the carriage 3. In the present embodiment, for ease of understanding, only one railcar bearing 330 (hereinafter also referred to as “target bearing 330”) among the plurality of railcar bearings 330 included in the carriage 3 is focused. .
The carriage 3 includes an axle 310, wheels 320 fitted to the axle 310, and a plurality of railcar bearings 330 that are provided at both ends of the axle 310 and rotatably support the axle 310.

The bearing abnormality diagnosis device 4 includes a traveling speed detection unit 410, a vehicle position detection unit 420, a vibration detection unit 430, a threshold storage unit 440, an information display unit 450, and an arithmetic device 460.
The travel speed detection unit 410 detects the travel speed of the railway vehicle 1. For example, a wheel speed sensor can be employed. Then, traveling speed detection unit 410 outputs the detection result to arithmetic device 460.
The vehicle position detection unit 420 detects the current position of the railway vehicle 1. For example, a GPS receiver that receives a GPS (global positioning system) signal and calculates the current position from the received signal can be employed. Then, vehicle position detection section 420 outputs the detection result to arithmetic device 460.
The vibration detection unit 430 detects the vibration of the target bearing 330 (railway vehicle bearing 330) of the railway vehicle 1. Then, the vibration detection unit 430 outputs the detection result to the arithmetic device 460.

  The threshold storage unit 440 stores a diagnostic table. As shown in FIG. 2, the diagnosis table stores a diagnosis threshold value for abnormality diagnosis for diagnosing the presence / absence of abnormality of the railcar bearing 330. The threshold for diagnosis is stored in association with a combination of a plurality of sections set by dividing the travel route of the railway vehicle 1 (hereinafter also referred to as “business route”) and the travel speed of the rail vehicle 1. In the example of FIG. 2, sections A, B, etc. are used as a plurality of sections set by dividing the business route. Moreover, as traveling speed of the railway vehicle 1, for example, speeds of 0 to 30 [km / h], 31 to 60 [km / h], 61 to 90 [km / h], 91 to 120 [km / h], etc. A range is used.

As the threshold for diagnosis, for example, the RMS value of the amplitude of vibration generated when the target bearing 330 (railway vehicle bearing 330) travels in a normal state and the average value of the amplitude, Peak value and amplitude crest factor can be adopted. In the present embodiment, the RMS value of the amplitude of vibration that occurs when the vehicle travels in the normal state is adopted as the diagnostic threshold.
In this case, at the time of setting the diagnostic threshold, first, each section travels at various speeds by the railway vehicle 1 in which the target bearing 330 (railway vehicle bearing 330) is in a normal state. Vibration data generated in the bearing 330) is acquired by the vibration detection unit 431. Subsequently, based on the acquired data, the RMS value of the amplitude of vibration generated in the target bearing 330 (railway vehicle bearing 330) is calculated for each combination of a plurality of sections and the traveling speed of the railcar 1. Then, the calculated RMS value is stored in the threshold storage unit 440 as a diagnostic threshold. The RMS value (diagnostic threshold) increases as the unevenness increases and the traveling speed increases.

The information display unit 450 displays various information according to a display command from the arithmetic device 460.
The arithmetic device 460 is realized by a microcomputer, for example. The arithmetic device 460 includes a vibration value calculation unit 461, a section identification unit 462, an abnormality diagnosis unit 463, and a high accuracy diagnosis unit 464. The vibration value calculation unit 461, the section specifying unit 462, the abnormality diagnosis unit 463, and the high accuracy diagnosis unit 464 execute abnormality diagnosis processing. Details of the abnormality diagnosis process will be described later.

(Abnormality diagnosis processing)
Next, an abnormality diagnosis process executed by the vibration value calculation unit 461, the section specifying unit 462, the abnormality diagnosis unit 463, and the high accuracy diagnosis unit 464 will be described.
As shown in FIG. 3, first, the process proceeds to step S <b> 100, and the vibration value calculation unit 461 represents the magnitude of vibration of the railcar bearing 330 based on the detection result (vibration) output by the vibration detection unit 430. A numerical value (hereinafter also referred to as “vibration value”) is calculated. As the vibration value, for example, the RMS value of the amplitude of the vibration detected by the vibration detection unit 430, the average value of the absolute value of the amplitude, the peak value of the amplitude, and the crest factor of the amplitude can be adopted. In the present embodiment, the same characteristic value as the diagnostic threshold (RMS value) is used, and the RMS value of the amplitude of vibration detected by the vibration detection unit 430 is employed as the vibration value.
Subsequently, the process proceeds to step S102, and the section specifying unit 462 specifies a section in which the rail vehicle 1 is traveling based on the current position output by the vehicle position detecting unit 420.

Subsequently, the process proceeds to step S104, and the abnormality diagnosis unit 463 outputs the section identified in step S102 among the RMS values (diagnostic threshold values) stored in the threshold storage unit 440 and the travel speed detection unit 410. The travel speed, that is, the RMS value (diagnostic threshold) associated with the speed range to which the travel speed belongs is compared with the RMS value (vibration value) calculated in step S100. Thereby, abnormality diagnosis of the object bearing 330 (railway vehicle bearing 330) is performed.
Specifically, the abnormality diagnosis unit 463 uses the RMS value (diagnostic threshold value) stored in the threshold storage unit 440 and the speed to which the section specified in step S102 and the travel speed output by the travel speed detection unit 410 belong. An RMS value (diagnostic threshold) associated with the range is acquired. Subsequently, the abnormality diagnosis unit 463 determines whether or not the difference between the acquired RMS value (diagnosis threshold) and the RMS value (vibration value) calculated in step S100 is within a predetermined allowable range. .

  When the abnormality diagnosis unit 463 determines that the difference between the RMS value (diagnosis threshold) and the RMS value (vibration value) is within the allowable range, as shown at time t5 in FIG. 4, that is, | RMS Value (diagnosis threshold) −RMS value (vibration value) | ≦ when it is determined that the boundary value is within the allowable range (Yes), the target bearing 330 (railway vehicle bearing 330) is diagnosed as normal, and the process proceeds to step S100. Return. Thereby, the flow of the said step S100-S104 is performed again. Here, since the RMS value (vibration value) can be appropriately calculated even when the sampling time is rough, calculation of the RMS value and abnormality diagnosis based on the calculated RMS value are repeated with a relatively rough sampling time. As a relatively rough sampling time, for example, 1 [Hz] can be adopted.

On the other hand, when the abnormality diagnosis unit 463 determines that the difference is outside the allowable range, that is, when it is determined that | RMS value (diagnosis threshold) −RMS value (vibration value) |> boundary value of the allowable range. (No), it is diagnosed that there is a sign of abnormality in the target bearing 330 (railway vehicle bearing 330), and the process proceeds to step S106.
In step S106, the abnormality diagnosis unit 463 displays a display command (hereinafter also referred to as “first display command”) for displaying a diagnosis result for notifying that the target bearing 330 (railway vehicle bearing 330) has a sign of abnormality. ) Is output to the information display unit 450.

Subsequently, the process proceeds to step S108, where the high-accuracy diagnosis unit 464 is based on the vibration detected by the vibration detection unit 430, and the target bearing 330 (bearing for railway vehicle) has a higher calculation load and higher accuracy than the abnormality diagnosis performed in step S103. 330) abnormality diagnosis (hereinafter also referred to as “high-precision diagnosis”). As the high-accuracy diagnosis, for example, a well-known bearing abnormality diagnosis technique such as the techniques described in Japanese Patent Application Laid-Open Nos. 2014-052346 and 2013-003095 can be employed. The high-precision diagnosis is repeated with a relatively fine sampling time (for example, 0.5 Hz).
At the same time, the high-accuracy diagnosis unit 464 sequentially stores time-series data of the amplitude of vibration detected by the vibration detection unit 430. Thereby, time series data when the abnormality occurs is accumulated.
In step S110, the high-accuracy diagnosis unit 464 displays a display command (hereinafter also referred to as “second display command”) for displaying a diagnosis result for notifying that the target bearing 330 (railway vehicle bearing 330) is abnormal. The information is displayed on the information display unit 450.

(Operation other)
Next, the operation of the bearing abnormality diagnosis device 4 will be described.
First, when the railway vehicle 1 starts traveling, the abnormality diagnosis process is executed by the arithmetic device 460. When the abnormality diagnosis process is executed, as shown in FIG. 5, the vibration value calculation unit 461 of the arithmetic device 460 is based on the detection result (vibration) output from the vibration detection unit 430, and the target bearing 330 (bearing for railcar) 330) of the vibration amplitude is calculated (vibration value) (step S200).
Here, it is assumed that the railway vehicle 1 is traveling at a speed of 20 [km / h] in a section A, for example, a section having relatively large unevenness, as shown at time t1 in FIG. Then, the section specifying unit 462 specifies that the section in which the railway vehicle 1 is traveling is the section A based on the current position output by the vehicle position detecting unit 420 (step S202). Subsequently, among the RMS values (diagnostic threshold values) stored in the threshold value storage unit 440, the abnormality diagnosis unit 463 of the arithmetic device 460 identifies the identified section A (relatively, as indicated by the thick frame line in FIG. The RMS value (diagnostic threshold) associated with the speed range 0 to 30 [km / h] to which the traveling speed 20 [km / h] output from the traveling speed detection unit 410 and the traveling speed detection unit 410 outputs, A relatively large RMS value (diagnostic threshold) is read (step S204). Subsequently, the abnormality diagnosis unit 463 compares the read RMS value (diagnosis threshold value) with the RMS value (vibration value) calculated by the vibration value calculation unit 461, and the target bearing 330 (railway vehicle bearing 330). Abnormality diagnosis, that is, diagnosis of presence / absence of abnormality is performed (step S206).

Thus, in this embodiment, when the railway vehicle 1 is traveling in the section A in which the RMS value (vibration value) is relatively large, the speed range 0 to which the traveling speed of the section A and the railway vehicle 1 belongs. Since a diagnostic threshold corresponding to ˜30 [km / h], that is, a relatively large diagnostic threshold is used for abnormality diagnosis, the reliability of abnormality diagnosis of the target bearing 330 (railway vehicle bearing 330) can be improved.
If the abnormality diagnosis unit 463 determines that the target bearing 330 (railway vehicle bearing 330) is in a normal state, the flow of steps S200 to S204 is executed again. At that time, the RMS value is calculated at a relatively rough sampling time (for example, 1 Hz), and the abnormality diagnosis of the target bearing 330 (railway vehicle bearing 330) is repeated based on the calculated RMS value.
That is, in the present embodiment, when traveling in a section where the vibration value increases due to unevenness of the travel route or the like, the target bearing 330 (railway vehicle bearing 330 is used by using a diagnostic threshold considering the increase in the vibration value. ) Can be diagnosed. Therefore, the reliability of the abnormality diagnosis of the target bearing 330 (railway vehicle bearing 330) can be improved as compared with the case where a uniform diagnosis threshold is used.

If the traveling speed of the railway vehicle 1 increases while repeating the above flow, the RMS value (diagnostic threshold) associated with the speed range to which the increased traveling speed belongs and the section A is read. Then, as shown at times t2 and t3, the abnormality diagnosis unit 463 compares the read RMS value (diagnosis threshold) with the RMS value (vibration value) calculated by the vibration value calculation unit 461 one after another, The diagnosis of the presence / absence of abnormality of the bearing 330 (railway vehicle bearing 330) is repeatedly performed.
Furthermore, as the above flow is repeated, it is assumed that the railway vehicle 1 enters a section B, for example, a section with relatively small unevenness, as shown at time t4 in FIG. Then, the section specifying unit 462 specifies that the section in which the railway vehicle 1 is traveling is the section B based on the current position output by the vehicle position detecting unit 420 (step S208). Subsequently, the abnormality diagnosis unit 463 of the arithmetic device 460 identifies the specified section B (section with relatively small unevenness) and the traveling speed detection unit among the RMS values (diagnostic threshold values) stored in the threshold storage unit 440. The RMS value (diagnostic threshold) associated with the speed range to which the traveling speed output by 410 belongs, that is, the relatively small RMS value (diagnostic threshold) is read (step S210). Subsequently, the read RMS value (diagnosis threshold value) and the RMS value (vibration value) calculated by the vibration value calculation unit 461 are compared to diagnose whether the target bearing 330 (railway vehicle bearing 330) has a sign. Is performed (step S212).
Thus, in this embodiment, when the railway vehicle 1 is traveling in the section B in which the RMS value (vibration value) is relatively small, the section B and the speed range to which the traveling speed of the railway vehicle 1 belongs are included. Since the corresponding diagnostic threshold value, that is, a relatively small diagnostic threshold value is used for abnormality diagnosis, the reliability of the diagnosis of the presence or absence of a sign of abnormality of the target bearing 330 (railway vehicle bearing 330) can be improved.

Thereafter, as shown at time t5 in FIG. 4, abnormality diagnosis unit 463 determines that | RMS value (diagnosis threshold) −RMS value (vibration value) |> boundary value of allowable range, and target bearing 330 (railway vehicle) Assume that the bearing 330) is diagnosed as having a sign of abnormality. Then, abnormality diagnosis unit 463 outputs a first display command to information display unit 450 (step S214). Then, according to the first display command from the abnormality diagnosis unit 463, the information display unit 450 displays a diagnosis result for notifying that the target bearing 330 (railway vehicle bearing 330) has a sign of abnormality (step S216). .
Subsequently, based on the vibration detected by the vibration detection unit 430, the high-accuracy diagnosis unit 464 of the arithmetic device 460 performs high-accuracy diagnosis with higher calculation load and accuracy than the abnormality diagnosis performed by the abnormality diagnosis unit 463 (step S218). ). At the same time, the time-series data of the vibration amplitude is sequentially stored.
Here, when the high-accuracy diagnosis unit 464 determines that the target bearing 330 (railway vehicle bearing 330) is in a normal state, the high-accuracy diagnosis is executed again, and is relatively finer than when diagnosing the presence or absence of an abnormality sign. The high-accuracy diagnosis is repeated many times at a sampling time (for example, 0.5 Hz).

  As described above, in the present embodiment, in the normal state, the abnormality diagnosis unit 463 calculates the RMS value (vibration value) with a relatively rough sampling time (1 Hz), and the target bearing 330 (the railcar bearing 330). Diagnose the presence or absence of abnormal signs. Only when it is diagnosed that there is a sign of abnormality, the high-accuracy diagnosis unit 464 has high accuracy of occurrence of abnormality in the target bearing 330 (railway vehicle bearing 330) with a relatively fine sampling time (0.5 Hz). Diagnosis and storage of time series data of amplitude are performed. Therefore, the calculation load during normal operation can be reduced and the calculation device 460 having a relatively low calculation capability can be executed. In addition, the storage capacity of the storage medium for storing time series data of amplitude can be reduced. Therefore, it can suppress that an apparatus becomes expensive and large.

(Effect of this embodiment)
The invention according to this embodiment has the following effects.
(1) In the bearing abnormality diagnosis device 4 according to this embodiment, the target bearing 330 (railway) is associated with a combination of a plurality of sections set by dividing the travel route of the railcar 1 and the travel speed of the railcar 1. The vehicle bearing 330) includes a threshold value storage unit 440 that stores a diagnosis threshold value (RMS value) for diagnosing the presence / absence of an abnormality sign. Then, the abnormality diagnosis unit 463 combines the section specified by the section specifying unit 462 and the travel speed detected by the travel speed detection unit 410 among the diagnostic threshold values (RMS values) stored in the threshold storage unit 440. An abnormality diagnosis is performed by comparing the associated diagnostic threshold value (RMS value) with the vibration value (RMS value) calculated by the vibration value calculation unit 461.
According to such a configuration, for example, when traveling in a section where the vibration value increases due to unevenness of the travel route, etc., the target bearing 330 (for railcars) is used by using the diagnostic threshold considering the increase in the vibration value. An abnormality diagnosis of the bearing 330) can be performed. Therefore, the reliability of abnormality diagnosis of the target bearing 330 (railway vehicle bearing 330) can be improved.

(2) In the bearing abnormality diagnosis device 4 according to the present embodiment, when the abnormality diagnosis unit 463 diagnoses that there is a sign of abnormality, the abnormality diagnosis unit 463 performs an abnormality based on the vibration detected by the vibration detection unit 430. A high-accuracy diagnosis unit 464 that performs abnormality diagnosis with higher calculation load and accuracy than diagnosis is further provided.
According to such a configuration, at the normal time, the abnormality diagnosis unit 463 diagnoses whether there is a sign of abnormality of the target bearing 330 (railway vehicle bearing 330). Only when it is diagnosed that there is a sign of abnormality, the high-accuracy diagnosis unit 464 performs high-accuracy diagnosis of occurrence of abnormality in the target bearing 330 (railway vehicle bearing 330). Therefore, it is possible to reduce the calculation load during normal operation, and even the calculation device 460 having a relatively low calculation capability can be executed, and the device can be prevented from becoming expensive.

(3) In the bearing abnormality diagnosis device 4 according to this embodiment, the vibration value is the RMS value of the amplitude of vibration detected by the vibration detection unit 430, and the diagnosis threshold is the target bearing 330 (railway vehicle bearing 330). Is an RMS value of the amplitude of vibration generated when the vehicle travels in a normal state.
According to such a configuration, the RMS value is compared to perform abnormality diagnosis, so that it can be executed even by the arithmetic device 460 having a relatively low arithmetic capability, and the device can be further prevented from becoming expensive.

(4) In the bearing abnormality diagnosis device 4 according to the present embodiment, the abnormality diagnosis unit 463 includes the section specified by the section specifying unit 462 and the traveling speed detection unit among the diagnostic threshold values stored in the threshold storage unit 440. If the difference between the diagnosis threshold value associated with the traveling speed detected in 410 and the vibration value calculated by the vibration value calculation unit 461 is outside a predetermined allowable range, the railcar bearing 330 is abnormal. Diagnose that there is a sign of
According to such a configuration, the presence or absence of an abnormality sign can be determined relatively easily.

(5) The railway vehicle 1 according to the present embodiment includes the bearing abnormality diagnosis device 4 described in (1) to (4) above.
According to such a configuration, for example, when traveling in a section where the vibration value increases due to unevenness of the travel route, etc., the target bearing 330 (for railcars) is used by using the diagnostic threshold considering the increase in the vibration value. An abnormality diagnosis of the bearing 330) can be performed. Therefore, the reliability of abnormality diagnosis of the target bearing 330 (railway vehicle bearing 330) can be improved.

(Modification)
(1) In the present embodiment, an example of diagnosing the presence / absence of an abnormality in the target bearing 330 (railway vehicle bearing 330) has been shown, but other configurations may be employed. For example, it is good also as a structure which diagnoses generation | occurrence | production itself of the abnormality of the object bearing 330 (bearing 330 for rail vehicles). In this case, the abnormality diagnosis unit 463 is associated with the section identified by the section identifying unit 462 and the traveling speed detected by the traveling speed detecting unit 410 among the diagnostic threshold values stored in the threshold storage unit 440. When the difference between the diagnosis threshold and the vibration value calculated by the vibration value calculation unit 461 is outside a predetermined allowable range, it is diagnosed that an abnormality has occurred in the target bearing 330 (railway vehicle bearing 330). To do. The allowable range used for diagnosing the occurrence of abnormality in the target bearing 330 (railway vehicle bearing 330) is narrower than the allowable range used for diagnosing the presence or absence of an abnormality sign.

(2) In this embodiment, although the example which applies this invention to the rail vehicle 1 was shown, another structure can also be employ | adopted. For example, the present invention may be applied to an automobile and may be configured to diagnose the presence or absence of an abnormality sign of a wheel bearing inserted between an axle and a hub or the occurrence of an abnormality.

DESCRIPTION OF SYMBOLS 1 Rail vehicle 2 Car body 3 Bogie 310 Axle 320 Wheel 330 Rail vehicle bearing 4 Bearing abnormality diagnosis device 410 Traveling speed detection unit 420 Vehicle position detection unit 430 Vibration detection unit 431 Vibration detection unit 440 Threshold storage unit 450 Information display unit 460 Arithmetic unit 461 Vibration value calculation unit 462 Section identification unit 463 Abnormality diagnosis unit 464 High accuracy diagnosis unit

Claims (5)

A traveling speed detector for detecting the traveling speed of the vehicle;
A vehicle position detector for detecting a current position of the vehicle;
A vibration detecting unit for detecting vibration of the axle bearing of the vehicle;
Based on the vibration detected by the vibration detection unit, a vibration value calculation unit that calculates a vibration value representing the magnitude of vibration of the axle bearing,
For abnormality diagnosis for diagnosing the presence or absence of abnormality or occurrence of abnormality in the axle bearing in association with a combination of a plurality of sections set by dividing the traveling route of the vehicle and the traveling speed of the vehicle A threshold storage unit storing a diagnostic threshold;
Based on the current position detected by the vehicle position detection unit, a section identifying unit that identifies a section in which the vehicle is traveling,
Among the diagnostic threshold values stored in the threshold value storage unit, the diagnostic threshold value associated with the section specified by the section specifying unit and the traveling speed detected by the traveling speed detecting unit, and the vibration value calculation A bearing abnormality diagnosing device comprising: an abnormality diagnosing unit that compares the vibration value calculated by the unit and performs the abnormality diagnosis.   When the abnormality diagnosis unit diagnoses that there is a sign of abnormality, high accuracy for performing abnormality diagnosis with higher calculation load and higher accuracy than the abnormality diagnosis performed by the abnormality diagnosis unit based on the vibration detected by the vibration detection unit The bearing abnormality diagnosis device according to claim 1, further comprising a diagnosis unit. The vibration value is an RMS value of the amplitude of vibration detected by the vibration detection unit,
The bearing abnormality diagnosis device according to claim 1, wherein the diagnosis threshold value is an RMS value of an amplitude of vibration generated when the axle bearing travels in the vehicle in a normal state.   The abnormality diagnosing unit is a diagnostic threshold associated with the section identified by the section identifying unit and the traveling speed detected by the traveling speed detecting unit among the diagnostic thresholds stored in the threshold storage unit. And a difference between the vibration value calculated by the vibration value calculation unit is outside a predetermined allowable range, and the axle bearing is diagnosed as having an abnormality sign or an abnormality has occurred. Item 6. The bearing abnormality diagnosis device according to Item 3.   A vehicle comprising the bearing abnormality diagnosis device according to any one of claims 1 to 4.

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