Fault diagnosis method and device for rolling bearing of running gear of locomotive

Abstract

The invention discloses a fault diagnosis method and device for a rolling bearing of a running gear of a locomotive. The method includes the steps of collecting vibration acceleration data of the rolling bearing of the running gear of the locomotive under different fault types, and grouping the data according to the fault types; obtaining frequency domain signals of the vibration acceleration data according to the grouped vibration acceleration data; conducting three-layer wavelet packet decomposition on the frequency domain signals, and constructing fault characteristic sets; randomly arranging the fault characteristic sets, using the front B sets as the training sets, and using the rear C sets as the testing sets, wherein the sum of B and C is equal to A, and B is larger than C; training the B training sets through a Naive Bayes classifier, and establishing fault diagnosis model based on Naive Bayes for the rolling bearing of the running gear of the locomotive; classifying the C testing sets according to the fault diagnosis model, and evaluating the classification performance of the fault diagnosis model according to the classification result and through the combination with the fault characteristic sets.

Description

technical field [0001] The invention relates to the technical field of mechanical fault diagnosis, in particular to a method and device for fault diagnosis of rolling bearings in running parts of locomotives based on wavelet packets and naive Bayesian classification. Background technique [0002] The railway is an important infrastructure of the country and plays an irreplaceable role in the social and economic development and national defense of our country. In recent years, with the rapid development of my country's economic construction, the country has increased investment in railway transportation, and high-speed and heavy-duty transportation is one of the key manifestations. Speed ​​and load are two important indicators that restrict each other to evaluate the performance of trains. With the continuous increase of train speed and traction load, the safe operation of locomotives has higher requirements, and the maintenance of locomotives has also become more and more im...

AI Technical Summary

Problems solved by technology

[0008] In order to solve the problems in the prior art that the diagnosis accuracy of rolling bearing faults in running parts of locomotives is low and it takes a long time to establish a diagnostic model, the present invention proposes a rolling bearing faults in running parts of locomotives based on wavelet packets and naive Bayesian classification Diagnostic methods and devices

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