Online high-speed railway steel rail damage monitoring method

Abstract

The invention provides an online high-speed railway steel rail damage monitoring method. The method comprises the steps of installing acceleration sensors along a high-speed railway track according to a given distance, acquiring a vibration signal of the steel rail, and forming a sensor network; judging whether the damage exists or not by utilizing a processor on each sensor node, transmitting a damage signal to an information center or a flaw detector to issue an alarm or to be further processed by virtue of the sensor network if the damage exists, and the method is characterized in that the method for judging the damage is based on sparse non-negative matrix factorization characteristic extraction and support vector machine classification, the sparse non-negative matrix factorization adopts singular value decomposition to initialize a matrix, and the iterative computation is carried out by utilizing an alternating least squares algorithm. By adopting the method, an accurate high-speed railway steel rail monitoring result can be acquired, and the damage judgment speed and the damage judgment accuracy can be improved. The method can be widely used for monitoring the damage of the steel rail.

Description

technical field [0001] The invention relates to the field of damage detection of high-speed rail rails, in particular to an on-line monitoring method for damage of high-speed rail rails. Background technique [0002] With the advancement of science and technology, high-speed rail transportation technology has also developed rapidly. On the one hand, the high-speed rail has enhanced the transportation capacity, and its low energy consumption and low pollution characteristics can reduce the waste of resources and reduce the damage to the environment. To promote economic development and cultural exchanges. At the same time, the development of high-speed railway also poses serious challenges to safe operation. Regardless of human factors, the main factor affecting the normal operation of high-speed railways is the health of train vehicles and rails. For the safety of the vehicle, real-time monitoring of its health status can be carried out through a complete automatic control...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems of low detection speed and poor accuracy in existing rail damage detection methods, the basic idea of ​​the present invention is to install acceleration sensors at a certain distance along the high-speed railway track to collect rail vibration signals and form a sensor Then use the processor of the sensor node to judge whether there is damage to the signal. If there is damage, the damaged signal will be sent to the information center through the sensor network. The method of judging the damage is based on sparse non-negative Matrix Factorization Methods and Support Vector Machines

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