DefinePK

Abstract

Stator Winding Fault can be detected by monitoring any abnormality of the Park’s spectrum. In this paper is presented a fault-detection performance comparison between the Support Vector Machine (SVM) and backpropagation algorithm (BP) using experimental data for a healthy and faulty case. Support Vector Machine and Backpropagation Algorithm provide environments to develop fault-detection schemes because of their multi-input- processing and its good generalization capability. The training patterns are obtained using motor current signature analysis (MCSA) and using Spectral Park’s Vector. The neural networks are evaluated by means of the cross- validation technique to determine easily the diagnosis and severity of turn-to- turn faults.