Fault diagnosis an Electromotor with of MLP and WNN neural networks

Developing a special method for maintenance of electrical equipments of industrial company is necessary for improving maintenance quality and reducing operating costs. The combination of corrective preventative and condition based maintenance will require applying for critical equipments of industrial company .This type of maintenance policy and strategy will improve performance of this equipment through availability of industrial equipment.In this study, both neural network self-organizing Maps and The Multi-Layer perceptron neural network is used to classify faults Electromotor the Multi-Layer perceptron could accurately than self-organizing Maps neural network to the fault classify.

کلیدواژه ها:

Fault diagnosis ، Electromotor ، FFT spectrum ، Multi-Layer perceptron (MLP) ، Wavelet Neural Networks