Automatic real-time SVM-based ultrasonic rail flaw detection and classification system

doi:10.7523/j.issn.2095-6134.2009.4.013

›› 2009, Vol. 26 ›› Issue (4): 517-521.DOI: 10.7523/j.issn.2095-6134.2009.4.013

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Automatic real-time SVM-based ultrasonic rail flaw detection and classification system

HAO Wei¹, LI Cheng-Tong²

1 Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing 100080,China; 2 Bosoon Software Co. Ltd, Beijing 100088, China

Revised:2009-04-13 Online:2009-07-15

Abstract

Abstract:

This paper describes a more efficient real time SVM(support vector machine)-based ultrasonic rail defect detection and classification system. Feature extraction is achieved based on the attribute of ultrasonic rail defect and then SVM classification prediction algorithm and statistical processing are used to realize classification and calculating the size of the rail defect. This machine learning algorithm is tested in DSP and the type, grade and location of the defects are displayed in real-time.

Key words: pattern recognition, ultrasonic rail flaw detection, support vector machine(SVM), DSP real-time signal processing

CLC Number:

TP751

HAO Wei, LI Cheng-Tong. Automatic real-time SVM-based ultrasonic rail flaw detection and classification system[J]. , 2009, 26(4): 517-521.

Automatic real-time SVM-based ultrasonic rail flaw detection and classification system

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