Title :
Development of an effective condition monitoring system for AC point machines
Author :
Asada, T. ; Roberts, C.
Author_Institution :
Sch. of Electr., Electron. & Comput. Eng., Univ. of Birmingham, Birmingham, UK
Abstract :
This paper develops a new approach for the fault detection and diagnosis of AC point machines. The paper shows that electrical active power can be used as a parameter for condition monitoring systems for AC point machines. The methodology proposed in this paper utilises Wavelet Transforms and Support Vector Machines. It was found that this method can detect and diagnose faults to a high degree of accuracy.
Keywords :
AC machines; condition monitoring; fault diagnosis; support vector machines; wavelet transforms; AC point machines; condition monitoring system; electrical active power; fault detection; fault diagnosis; support vector machines; wavelet transforms; Condition monitoring; Fault diagnosis; Point machine; Support Vector Machine; Wavelet Transform;
Conference_Titel :
Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), 5th IET Conference on
Conference_Location :
Derby
DOI :
10.1049/cp.2011.0584
