Fault diagnosis an Electromotor with of MLP and WNN neural networks

Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

MECHEN01_102

تاریخ نمایه سازی: 18 خرداد 1398

Abstract:

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.

Authors

Peyman Navidy

Master of Science of agricultural machinery engineering, Islamic Azad University Kermanshah Branch