High speed turnout injury identification method based on vibration signal wavelet threshold value denoising

A technology of vibration signal and wavelet threshold, which is applied in the direction of processing the response signal of the detection, can solve the problems of high computational complexity, unusability, modal interference, etc., and achieve improved recognition rate, good noise reduction robustness, and small signal distortion Effect

Inactive Publication Date: 2013-07-10
SOUTHWEST JIAOTONG UNIV
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  • Abstract
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Problems solved by technology

The object monitored by this method is a fixed rail. Due to the strong regularity of the vibration signal of the fixed rail, low noise, and high signal-to-noise ratio, this method can still be realized; however, it is more powerful and complex for the background interference noise of the movable and changing c

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  • High speed turnout injury identification method based on vibration signal wavelet threshold value denoising
  • High speed turnout injury identification method based on vibration signal wavelet threshold value denoising
  • High speed turnout injury identification method based on vibration signal wavelet threshold value denoising

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Embodiment

[0040] A specific embodiment of the present invention is a high-speed switch damage identification method based on vibration signal wavelet threshold noise reduction, including the steps of collecting vibration signals of the switch, extracting the characteristics of the vibration signal of the switch, and classifying and identifying the damage of the switch. Before extracting the characteristics of the turnout vibration signal, the effective turnout vibration signal is extracted from the collected turnout vibration signal, and the wavelet threshold method is used to reduce the noise of the effective turnout vibration signal; The specific method is as follows:

[0041] (1) Extracting effective turnout vibration signals: Carry out automatic endpoint detection on the collected turnout vibration signals, determine the starting point and ending point of the corresponding vibration signal when the wheel passes through the measuring point; select any pair of starting point and ending...

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Abstract

The present invention discloses a high speed turnout injury identification method based on vibration signal wavelet threshold value denoising, which is used for identifying turnout fracture, flaw, nuclear injuries and other working conditions in a high speed turnout injury monitoring system. The method comprises the following steps: acquiring turnout vibration signals, extracting turnout vibration signal feature, and classifying and identifying turnout injury. Before extracting the turnout vibration signal feature, automatic endpoint detection is performed for the turnout vibration signals based on short-term energy, and the active vibration signal is extracted according to detection endpoint. The wavelet threshold value denoising is used for the extracted effective vibration signal to get injury identification-needed valid data. The method of the invention has a significant effect on suppressing noise, can effectively improve recognition rate and instantaneity of turnout injury identification based on the vibration signal, and has a wide application prospect in high speed railway turnout injury monitoring.

Description

technical field [0001] The invention relates to a technical method for safety monitoring and protection of high-speed railway turnouts, in particular to a method for identifying damage of high-speed railway turnouts. Background technique [0002] High-speed turnouts are necessary basic equipment for high-speed railways. They are movable parts and vulnerable links in railway lines. They have the characteristics of large number, short life, complex structure, and low safety. points and difficulties. Due to the interaction between the vehicle and the track, the turnout is affected by external loads, the environment, disasters and other factors, and it will inevitably be damaged to varying degrees during long-term use, and the structural performance will decline, which will affect the safety of the turnout. Therefore, the high-speed turnout The real-time monitoring of damage status has become a problem to be solved urgently. [0003] Existing turnout safety monitoring systems,...

Claims

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Application Information

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IPC IPC(8): G01N29/50
Inventor 王小敏周祥鑫杨扬王平郭进
Owner SOUTHWEST JIAOTONG UNIV
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