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Method for detecting wheel flat damage fault based on EMD (Empirical Mode Decomposition) and multiscale entropy

A technology of empirical mode decomposition and multi-scale entropy, applied in railway vehicle testing, wheel rim measurement/measurement, etc., can solve problems such as failure to detect wheel flat scars in time, inconvenient for information management, and inability to track in real time, etc. Achieve the effect of fast detection speed, good real-time performance and low cost

Inactive Publication Date: 2018-11-16
NANJING UNIV OF SCI & TECH
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Problems solved by technology

Because the vehicle inspectors in the vehicle inspection department use special measuring tools for railway inspection, the inspection is labor-intensive and inefficient, and there is a possibility that the fault of the wheel flat scar cannot be found in time, resulting in missed inspection, and manual inspection has strong experience and cannot be real-time. Disadvantages such as tracking and inconvenient information management

Method used

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  • Method for detecting wheel flat damage fault based on EMD (Empirical Mode Decomposition) and multiscale entropy
  • Method for detecting wheel flat damage fault based on EMD (Empirical Mode Decomposition) and multiscale entropy
  • Method for detecting wheel flat damage fault based on EMD (Empirical Mode Decomposition) and multiscale entropy

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Embodiment 1

[0041] This embodiment adopts the rail vibration signal collected when a certain type of train of a certain subway company passes through a certain line, and the running speed is 40km / h, wherein the vibration signal collected by No. 1 sensor is as follows: image 3 shown. For the convenience of description, the data of one of the sensors is used for calculation description. First, the Chebyshev low-pass filter is used to filter the vibration signal to filter out useless clutter information. The vibration signal after filtering is as follows: Figure 4 shown. Since the car is composed of 6 sections, there are 12 bogies in total. The measured signals collected by the sensor are divided into compartments. Depend on Figure 4 It can be seen that there is a relatively obvious amplitude jump in the vibration acceleration value at the position of 4-8s, so the flat scar fault is most likely to occur at this position.

[0042] Name the front end of the vehicle as end 1, and the r...

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Abstract

The invention discloses a method for detecting a wheel flat damage fault based on EMD (Empirical Mode Decomposition) and a multiscale entropy. The method comprises the steps: installing four vibrationacceleration sensors on one side of a rail to collect the vibration signals of the rail when a train passes; filtering the collected rail vibration signals to retain the signal related with the vibration of a wheel; carrying out the EMD of the filtered signal, and extracting the first three natural modal components of the signal; calculating the multi-scale entropy of the sum of the first three natural modal components to obtain the multi-scale entropies of each sensor; calculating the average multi-scale entropy of each sensor; determining whether the wheel has the flat damage fault or not through the comparing of the multi-scale entropy curves of the normal wheel of the same train. According to the invention, the method employs the rail vibration signals collected by the vibration acceleration sensors, achieves the detection of the wave-shaped wear of the rail through the wavelet packet energy entropy analysis of the vibration signals, is good in real-time performance, is convenientfor detection, is high in speed, and is wide in application range.

Description

technical field [0001] The invention relates to the technical field of wheel flat scar detection of urban rail vehicles, in particular to a wheel flat scar fault detection method based on empirical mode decomposition and multi-scale entropy. Background technique [0002] With the acceleration of urbanization and the increase of urban population, the platform distance of urban rail transit is getting shorter and shorter, the frequency of trains is getting denser, and the number of passengers is increasing, which leads to more and more safety problems in vehicle operation. more prominent. As a key part of locomotive operation, wheelset not only bears the weight of the vehicle, but also bears various impact forces between the wheels and rails. When there is wheel wear and flat scar damage on the wheel tread, it will cause additional impact load to the wheel and axle. With the deepening of the flat scar and the increase of the vehicle speed, the impact load will reach several ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M17/08B61K9/12
Inventor 张永邢宗义李世博黄成董伟
Owner NANJING UNIV OF SCI & TECH
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