Method for classifying rail failures of high-speed rail

Abstract

The invention provides a method for classifying the rail failures of a high-speed rail. The main idea is that the method comprises the steps of extracting local features of a time domain and a frequency domain of damaged signals by using a wavelet analysis method; building a three-dimensional tensor signal for a same measuring point by combining different compartments; expanding data to a multi-dimensional space to obtain a non-negative tensor; taking an alternate least squares algorithm as an iteration criterion of the non-negative tensor decomposition; introducing SVD (Singular Value Decomposition) to improve the initialization of the non-negative tensor; extracting hidden features by an improved non-negative tensor decomposing method; and finally, introducing an extreme learning machine algorithm to realize real-time classification on the rail failures. According to the method for classifying the rail failures of the high-speed rail provided by the invention, the signals of rail defects and failures can be classified accurately, the classifying speed and accuracy of the for classifying the rail failures can be improved, and the robustness can be realized; furthermore, the classifying method based on the g the rail failures is prior to an existing method, the better recognition effect can be obtained, and the method can be extensively applied to the field of classifying the for classifying the rail failures.

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...

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

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