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A rail wave mill fault detection method based on EEMD energy entropy and WVD

A technology of fault detection and energy entropy, which is applied in transportation and packaging, character and pattern recognition, pattern recognition in signals, etc., can solve the problems of low detection efficiency and high labor intensity, and achieve simple operation, good real-time performance, and detection high efficiency effect

Inactive Publication Date: 2018-12-25
GUANGZHOU METRO GRP CO LTD
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Problems solved by technology

The measurement principle is simple, but the operation is labor-intensive and the detection efficiency is low

Method used

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  • A rail wave mill fault detection method based on EEMD energy entropy and WVD
  • A rail wave mill fault detection method based on EEMD energy entropy and WVD
  • A rail wave mill fault detection method based on EEMD energy entropy and WVD

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Embodiment 1

[0102]In this embodiment, in order to simulate the real track state as much as possible, the track setting is carried out by superimposing corrugation on the track spectrum. In the SIMPACK simulation experiment, the sampling frequency is 1kHz, the track length is 95m, and there is only a wave depth of 50mm at 65~-67m. For a track fault of 0.04mm, only the vertical irregularity of the track spectrum exists in other positions. Set the train running speed to 10m / s and other settings, and get as follows figure 2 The vertical vibration acceleration signal of the axlebox is shown.

[0103] EEMD decomposition is performed on the collected vibration acceleration signal of the axle box to obtain 11 IMF components and 1 res component. Since the res component is a useless item and has no effect on signal analysis, it is not necessary to process it; the EEMD energy of each IMF component obtained by decomposing is calculated separately, and the following is obtained: image 3 The energy ...

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Abstract

The invention discloses a rail wave mill fault detection method, which is based on EEMD energy entropy and WVD time-frequency analysis, comprising the following steps: EEMD decomposition is carried out on the collected initial acceleration signal of vehicle axle box vibration to obtain a plurality of IMF component signals; Calculating the EEMD energy of each IMF component signal and the total signal energy of all IMF component signals; Calculating the EEMD energy entropy of the IMF component signal according to the EEMD energy distribution of the IMF component signal; Fault diagnosis of orbital wave mill: comparing the EEMD energy entropy value with the set threshold value, if the EEMD energy entropy value is not less than the set threshold value, the orbital wave mill fault does not exist; If the EEMD energy entropy value is less than the threshold value, then the wave milling fault exists, and the next step is taken. WVD time-frequency analysis is carried out on each IMF component signal, and the results of WVD time-frequency analysis are linearly superposed to obtain the time-frequency diagram of the vibration signal. According to the time-frequency diagram, the location of thewave mill fault is located and the wave mill length is estimated. The detection method is simple and real in-time.

Description

technical field [0001] The invention belongs to the technical field of urban subway track fault detection and safety early warning, and in particular relates to a rail corrugation fault detection method based on EEMD energy entropy and WVD. Background technique [0002] As a key solution to the development of urbanized transportation, rail transit brings convenience to people's travel. At present, urban rail transit is being strongly supported and promoted by the state, and more and more cities have begun planning and construction, and the total mileage has reached 1,000 kilometers. After several years of development, many cities in my country will have subways, opening a new chapter in the development of rail transit, forming a complete travel transportation network in my country, and providing convenient transportation methods for urban residents. But at the same time, with the continuous expansion of rail lines and the surge of people, the safety of urban rail transit ha...

Claims

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Application Information

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IPC IPC(8): B61K9/08G06K9/00
CPCB61K9/08G06F2218/00G06F2218/04
Inventor 朱士友龙静杨玲芝陶涛徐胜运杨毅李兆新邓军
Owner GUANGZHOU METRO GRP CO LTD
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