Locomotive wheelset bearing fault diagnosis method based on angular domain-time domain-frequency domain

A fault diagnosis and wheel setting technology, applied in the direction of mechanical bearing testing, etc., can solve the problems of cumbersome fault diagnosis, low diagnosis accuracy, inability to determine the bearing fault location and quantitative judgment results, etc., to achieve easy maintenance and promotion, and good results. , the effect of real-time safety monitoring and fault diagnosis

Active Publication Date: 2015-04-22
SHIJIAZHUANG TIEDAO UNIV
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Problems solved by technology

However, this method of fault diagnosis is cumbersome, and the diagnostic accuracy is low, and it is impossible to determine the bearing fault location and quantitative judgment results

Method used

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  • Locomotive wheelset bearing fault diagnosis method based on angular domain-time domain-frequency domain
  • Locomotive wheelset bearing fault diagnosis method based on angular domain-time domain-frequency domain
  • Locomotive wheelset bearing fault diagnosis method based on angular domain-time domain-frequency domain

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Embodiment Construction

[0038] Depend on figure 1 and figure 2 It can be seen from the figure that a fault diagnosis method for locomotive wheel set bearings based on angle domain-time domain-frequency domain includes the following steps:

[0039] The first step is to install the equipment.

[0040] Install a rotary encoder at the end cover of the locomotive wheel set bearing; install an acquisition instrument and an analyzer in the locomotive driver's cab, and install an acceleration sensor directly above the locomotive wheel set bearing box. The output of the rotary encoder and the acceleration sensor is connected to the input of the acquisition instrument, and the output of the acquisition instrument is connected to the input of the analyzer; the rotary encoder, the acceleration sensor, the acquisition instrument and the analyzer are all connected by cables. Under certain circumstances, other wireless connection methods can also be used for connection, as long as the normal transmission of the ...

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Abstract

The invention discloses a locomotive wheelset bearing fault diagnosis method based on the angular domain-time domain-frequency domain, and belongs to the technical field of bearing testing. The method includes the steps that firstly, collected vibration acceleration signals of locomotive wheelset bearings are analyzed in the time domain and the frequency domain, whether the bearings are in a fault state or not is judged, the specific portions of the faults are judged, angular domain analysis is conducted on vibration acceleration creatively, and quantitative analysis data of the faults are acquired, so that the severity degrees of the faults are grasped, and basic data are provided for further fault monitoring. The analysis method in which the time domain, the frequency domain and the angular domain are combined is adopted, information such as fault occurrence, fault types and fault severity degrees of the bearings can be accurately provided, especially, the angular domain fault diagnosis method is creatively provided, an accurate monitoring mode is provided for the fault development degree, and more abundant reference data are provided for subsequent fault processing.

Description

technical field [0001] The invention belongs to the technical field of bearing testing. Background technique [0002] At present, the fault diagnosis methods of rotating machinery are becoming more and more mature, such as oil analysis method, ultrasonic flaw detection method, ferrography analysis method, temperature detection method, vibration analysis method and so on. Among these methods, the vibration analysis method has been widely used because of its high fault identification rate and simple and rapid detection method. At present, around the vibration analysis method, experts and scholars at home and abroad have developed a series of fault diagnosis algorithms, including wavelet analysis, empirical mode decomposition, shock pulse method, resonance demodulation method, time-frequency analysis method, etc. Although these methods have a high fault identification rate, most of them are used under harsh conditions, and are only effective for stable conditions, and are less...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/04
Inventor 杨绍普刘永强廖英英马增强赵志宏马新娜顾晓辉
Owner SHIJIAZHUANG TIEDAO UNIV
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