Damage Detection in Switch Rails via Machine Learning

2021 IEEE 2nd International Conference on Pattern Recognition and Machine Learning (PRML)(2021)

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Abstract
Switch rail is a weak but essential component of high-speed rail (HSR) systems. Due to aging and the potential of fatigue damage accumulation, it has an urgent requirement for damage detection. An automatic classification method of switch rail damage based on feature integration and machine learning is proposed. According to the characteristics of switch rail and guided wave, several features extr...
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Key words
Rails,Time-frequency analysis,Sensitivity,Switches,Machine learning,Signal processing,Feature extraction
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