INDUCTION MOTOR FAULTS DIAGNOSTIC VIA ARTIFICIAL NEURAL NETWORK (ANN)

The paper deals with the analysis of an Artificial Neural Network (ANN) approach suitable for on - line faults detection of induction machines. The aim of this paper is to develop an alternative with respect to traditional fault detector techniques that overcomes the limitations of present technology. After an analytical discussion about theoretical principles and relations used for the diagnosis of electrical machines failures, a simple ANN algorithm is presented and tested. The results prove the feasibility of to tool arranged by means of artificial neural network for a fast and accurate detection of stator faults induction machines. Furthermore a good accuracy of the results have been achieved notwithstanding the great simplicity of the algorithm with respect to a complete model arranged by a space vector analysis.