Nondestructive monitoring method for cracks of ballastless track slabs
A ballastless track and track slab technology, applied in tracks, track maintenance, neural learning methods, etc., can solve problems such as difficulty in accuracy, long installation time, and high cost, and achieve timely minor repairs, prevent accidents, and reduce major repairs.
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[0032] Such as figure 2 As shown, first, according to the set data processing program, it is necessary to analyze the waveform data of the normal working state and the waveform data of the damage state of the track slab, and correspond to different stages of damage. The above waveform data and damage stage Collected into a training set for such as figure 1 The neural network system shown is trained and used until the neural network can successfully identify the damage state corresponding to the unfamiliar waveform. The neural network system has established its own identification basis, and then the trained neural network system is applied to the acoustic emission monitoring system. In the middle, rely on this system to identify waveform data in the distributed sub-computers. Once abnormal waveforms are found, they will quickly send warning information to the central computer. The central computer will call the waveform data of the track board test block for in-depth analysis,...
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