Fault detection method for train bearing box

Abstract

The invention discloses a fault detection method for a train bearing box. The method comprises the following steps: acquiring a vibration signal and a noise signal of the train bearing box; performing time-frequency analysis on the vibration signal and the noise signal to respectively obtain a frequency spectrum trend term of the vibration signal and a frequency spectrum trend term of the noise signal; performing frequency spectrum division on the vibration signal by using the frequency spectrum trend term of the vibration signal, and performing frequency spectrum division on the noise signal by using the frequency spectrum trend term of the noise signal to respectively obtain a segmented frequency spectrum set of the vibration signal and a segmented frequency spectrum set of the noise signal; extracting an effective frequency band of the vibration signal from the segmented frequency spectrum set of the vibration signal, and extracting an effective frequency band of the noise signal from the segmented frequency spectrum set of the noise signal; and obtaining a fault detection result of the train bearing box according to the effective frequency band of the vibration signal and the effective frequency band of the noise signal. The fault detection of the bearing box can be realized based on the state data of the bearing box, and the safety of train operation is ensured.

Description

technical field [0001] The invention relates to the technical field of rail transit safety detection, in particular to a fault detection method for a train bearing box. Background technique [0002] In recent years, my country's high-speed trains have developed rapidly, and the speed of trains has been further increased, but the safety performance of trains has always been the focus of attention; bearing boxes, as key components of mechanical transmission, have been widely used in the field of rail high-speed trains; however, due to With the continuous increase of train running speed, the excitation of track irregularity is enhanced, and due to factors such as manufacturing process, assembly error, improper lubrication and overload, the rolling bearing inside the bearing box is prone to premature or sudden failure, and even under ideal operating conditions , Rolling bearings will also produce fatigue damage due to periodic contact stress, and these damages will further evolve ...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that the existing train bearing box cannot realize fault detection based on state data, the purpose of the present invention is to provide a bearing box based on the noise signal and vibration signal, and realize the bearing box fault by performing time-frequency analysis on the above signals detection method

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