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Train wheel damage identification method based on noise signals

A technology for noise signals and train wheels, applied in signal pattern recognition, character and pattern recognition, wheel rim measurement/measurement, etc., can solve problems such as wheel-rail contact relationship changes, wheel-rail noise changes, etc., to achieve a high degree of intelligence, Save manpower and material resources, good economical effect

Pending Publication Date: 2020-04-03
南京工大桥隧与轨道交通研究院有限公司
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Problems solved by technology

In addition, wheel damage will inevitably lead to changes in the wheel-rail contact relationship, which in turn will lead to changes in wheel-rail noise

Method used

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  • Train wheel damage identification method based on noise signals
  • Train wheel damage identification method based on noise signals
  • Train wheel damage identification method based on noise signals

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and specific preferred embodiments.

[0044] A method for identifying damage to train wheels based on noise signals, characterized in that: the noise collection device is arranged on both sides of the straight line section of the train running at a constant speed, and the noise collection device is used for real-time collection of wheels during the process of the train passing by the noise collection device. The instantaneous sound pressure of the noise around the rail contact surface, analyze and process the collected noise signal data, and identify and judge the wheel damage of rail transit trains. The specific steps are as follows:

[0045] Step 1, the noise signal is collected by the noise collection device, the noise signal is subjected to blind source separation, and the wheel-rail noise signal is retained;

[0046] Step 2, determine the characteristics of the wheel...

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Abstract

The invention discloses a train wheel damage identification method based on noise signals. Noise collection devices are disposed at two sides of a linear segment where a train runs at a uniform speed,and are used for collecting the instantaneous sound pressure of noise around a wheel-rail contact surface in real time when the train passes through the noise collection devices. The train wheel damage identification method comprises the following steps: firstly, acquiring a noise signal through a noise acquisition device, performing blind source separation on the noise signal, and reserving a wheel track noise signal; determining characteristics of the wheeltrack noise signal, and performing short-time Fourier transform on the wheeltrack noise to obtain time-frequency distribution characteristics of the wheeltrack noise; and finally, carrying out wheel damage identification, comparing the instantaneous sound pressure time-frequency spectrum of wheel rail noise when the train passes through the device with the characteristic time-frequency spectrum of various damage of the train wheel, judging the vehicle and the position to which the damaged wheel belongs, and obtaining the type of wheel damage. The train wheel damage identification method has the advantages of convenient installation, good economy, high intelligent degree, real-time online performance and the like.

Description

technical field [0001] The invention relates to the technical field of rail transit structure monitoring, in particular to a method for identifying damage to train wheels based on noise signals. Background technique [0002] The conditions of urban rail transit lines are poor, and small-radius curves and large ramps are common, which leads to serious damage to the wheel tread. Severely damaged wheels have become an important hidden danger affecting the operation safety of urban rail vehicles. In addition, wheel damage will inevitably lead to changes in the wheel-rail contact relationship, which in turn will lead to changes in wheel-rail noise. The driving speed of urban rail transit is low, the wheel-rail noise dominates the total system noise during vehicle operation, and wheel damage has a significant impact on the system noise during vehicle operation. Therefore, it is of great significance to predict the wheel damage state through the characteristic analysis of the noi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00B61K9/12
CPCB61K9/12G06F2218/10G06F2218/00
Inventor 朱利明卓静超孙宇
Owner 南京工大桥隧与轨道交通研究院有限公司
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