Development of an effective condition monitoring system for AC point machines

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. (6 pages)