Urban rail train wheel flat fault detection method

Abstract

The invention discloses an urban rail train wheel flat fault detection method. The method is on the basis of an improved Wigner-Ville distribution time frequency analysis method, and comprises the following steps of: acquiring signals on the spot, and carrying out adaptive denoising on vibration signals; carrying out continuous wavelet transform on the vibration signals, and linearly dividing a wavelet spectrogram into time frequency units so as to satisfy dimensionality of WVD; extracting a wavelet coefficient, analyzing signal features and estimating a threshold value; carrying out IWVD processing on the vibration signals, and carrying out wheel state discrimination according to a time frequency graph and a time frequency amplitude graph of the signals; if cross interference items exceed a component number N of the vibration signals, returning to re-calculate the threshold value and continuing to carry out processing. The method is on the basis of improved Wigner-Ville time frequency distribution, so that the detection result is obvious and the applicability is high.

Description

technical field [0001] The invention belongs to the technical field of wheel detection, in particular to a method for detecting flat scar faults of urban rail train wheels. Background technique [0002] The train wheel set is one of the most important parts in the running parts of the vehicle. It not only bears the full weight of the vehicle body and passengers or goods, but also is responsible for transmitting the interaction force between the wheel set and the rail, especially when the wheel passes over the rail. The vertical vibration acceleration on the The wheel set needs to withstand more impacts, including large static loads and dynamic loads, assembly stress and brake pads, thermal stress generated by brake pads during braking, and centrifugal force when passing through curves. [0003] However, as the speed of urban rail vehicles increases and the number of passengers increases sharply, the interaction force between the wheel set and the track increases, resulting ...

AI Technical Summary

Problems solved by technology

[0003] However, with the rapid increase in the speed of urban rail vehicles and the rapid increase in the number of passengers, the interaction force between the wheel set and the track has increased, resulting in an increasing number of non-circular contact surfaces between the wheel set and the rail, including flat scars on the wheel tread The most common form of damage that can cause damage to vehicle and track components and cause issues such as reduced safety and ride comfort

The existing wheel detection technology cannot accurately and real-time detect abnormalities such as wheel flat scars, and cannot take effective measures to eliminate safety hazards in time, which is a monitoring problem in the development of urban rail transit

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