Fault diagnosis an Electromotor with of MLP and WNN neural networks
عنوان مقاله: Fault diagnosis an Electromotor with of MLP and WNN neural networks
شناسه ملی مقاله: MECHEN01_102
منتشر شده در اولین کنفرانس ملی تحقیقات بنیادین در مهندسی مکانیک در سال 1397
شناسه ملی مقاله: MECHEN01_102
منتشر شده در اولین کنفرانس ملی تحقیقات بنیادین در مهندسی مکانیک در سال 1397
مشخصات نویسندگان مقاله:
Peyman Navidy - Master of Science of agricultural machinery engineering, Islamic Azad University Kermanshah Branch
خلاصه مقاله:
Peyman Navidy - Master of Science of agricultural machinery engineering, Islamic Azad University Kermanshah Branch
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.
کلمات کلیدی: Fault diagnosis, Electromotor, FFT spectrum, Multi-Layer perceptron (MLP), Wavelet Neural Networks
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/863019/