Steel rail crack detection method based on multiple acoustic emission event probabilities

Abstract

The invention relates to a steel rail crack detection method based on multiple acoustic emission event probabilities. According to the steel rail crack detection method, the relative probability output by a convolutional neural network is used as the probability of an acoustic emission event, and the problem that temporal information between samples is not fully used by an existing steel rail crack detection method is solved. The steel rail crack detection method comprises the steps of (1) loading an acoustic emission time domain signal data matrix, and performing FFT (Fast Fourier Transformation) and pretreatment on acoustic emission signals, so that a spectral matrix which is folded into a three-dimensional matrix and a label vector are obtained; (2) setting structural parameters and an initial value of the convolutional network; (3) inputting the spectral matrix, calculating and iterating errors of a convolutional neural network model layer by layer, updating a weight matrix and bias, performing feature extraction, and outputting classification results and classification probabilities of a test set; (4) correcting the outputting of the convolutional neural network on the basis of the multiple acoustic emission event probabilities, and optimizing the classification results. According to the steel rail crack detection method, the classification results are improved according to the multiple acoustic emission event probabilities, so that the detection precision of steel rail crack damages is increased, and high theoretical and practical engineering significance is obtained.

Description

technical field [0001] The invention relates to a method in the field of rail crack signal detection, in particular to a rail crack detection method based on the probability of multiple acoustic emission events. Background technique [0002] Since the world's first high-speed railway was built in Japan in 1964, it opened the prelude to the rapid development of high-speed railways in the world, making it an inevitable trend of social development. Nowadays, as an important infrastructure facility of the country, high-speed railway is not only a popular means of transportation, but also has brought huge impetus to economic and social development and has become the main artery of economic development. At the same time, how to ensure the safe and reliable operation of high-speed railways and timely grasp the safety status of rails has become a major issue for railway transportation. Rail damage is an important safety hazard in operation. If it is not detected in time and safety ...

AI Technical Summary

Problems solved by technology

A pure CNN does not take this connection into account

Images