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Classification method of rail damage in high-speed rail

A classification method and technology of rails, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve problems such as poor accuracy and slow processing speed

Inactive Publication Date: 2018-02-02
HARBIN INST OF TECH AT WEIHAI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems of slow processing speed and poor accuracy in existing rail damage classification methods, a rail damage classification method based on non-negative tensor decomposition and extreme learning machine is proposed

Method used

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  • Classification method of rail damage in high-speed rail
  • Classification method of rail damage in high-speed rail
  • Classification method of rail damage in high-speed rail

Examples

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Embodiment Construction

[0037] Below in conjunction with the accompanying drawings, the specific implementation of the high-speed rail rail damage classification method is described as follows:

[0038] figure 1 It is a diagram of the main steps of the high-speed rail rail damage classification method. In the establishment of a representative rail damage signal database, there are five types of signals, that is, non-destructive signals and damage signals of four disturbance models, and only damage signals are considered. The data set of each vibration signal contains 30 signals about quality, and each signal can obtain 10 three-dimensional tensors according to the above method. Establish a database composed of 40 three-dimensional tensors for tensor decomposition, and divide it into a training data set and a test data set. The training data set consists of 24 three-dimensional tensors, and the test data set consists of 16 three-dimensional tensors. . Among them, the constructed three-dimensional t...

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Abstract

The invention provides a high-speed rail rail damage classification method, the main idea of ​​which is: firstly, the time domain and frequency domain local features of the lossy signal are extracted by wavelet analysis method, and a three-dimensional tensor signal is established for the same measurement point combined with different carriages, and the data Extending to multi-dimensional space to obtain non-negative tensors, using the alternating least squares algorithm as the iterative criterion for non-negative tensor decomposition, and then introducing singular value decomposition to improve the initialization of non-negative tensors, using the improved non-negative tensor decomposition method The hidden features are extracted, and finally the extreme learning machine algorithm is introduced to realize the real-time classification of rail damage. The method of the invention can accurately classify rail damage signals, improves the speed and accuracy of damage classification and has better robustness. The rail damage classification method proposed by the invention is superior to existing methods, can obtain better recognition effect, and can be widely used in the field of rail damage classification.

Description

technical field [0001] The invention relates to the field of damage detection of high-speed rail rails, in particular to a damage classification method for high-speed rail rails. Background technique [0002] With the advancement of science and technology and the rapid development of high-speed rail transportation technology, the safe operation of high-speed rail is facing severe challenges. Ignoring the human factors that affect the normal operation of high-speed railways, the condition of train vehicles and rails has an important impact on the safe operation of vehicles. In fact, rail damage is the main cause of safety accidents in railway transportation. The common types of rail damage include nuclear damage, longitudinal cracks, and horizontal cracks. In particular, the rails are strongly impacted and squeezed during the train movement, which will affect the health of the rails to a greater extent. Therefore, the development of fast and accurate rail damage classifica...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
Inventor 陈玉敏马立勇孙明健王胜利
Owner HARBIN INST OF TECH AT WEIHAI
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