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Intelligence Maintenance of Electromotor with Self Organize Map network (SOM)

عنوان مقاله: Intelligence Maintenance of Electromotor with Self Organize Map network (SOM)
شناسه ملی مقاله: ICIRES02_027
منتشر شده در دومین کنفرانس بین المللی نوآوری و تحقیق در علوم مهندسی در سال 1397
مشخصات نویسندگان مقاله:

Peyman Navidy - Master of Science of agricultural machinery engineering, Islamic Azad University Kermanshah Branch Kermanshah, Iran

خلاصه مقاله:
The technical meaning of maintenance involves functionalchecks, servicing, repairing or replacing of necessarydevices, equipment, machinery, building infrastructure,and supporting utilities in industrial, business,governmental, and residential installations. A selforganizingmap (SOM) or self-organizing featuremap (SOFM) is a type of artificial neural network (ANN)that is trained using unsupervised learning to produce alow-dimensional (typically two-dimensional), discretizedrepresentation of the input space of the training samples,called a map, and is therefore a method todo dimensionality reduction. In this study, self-organizingMaps neural network is used to classify faultsElectromotor and the SOM could accurately the faultclassify. The classification accuracy with SOM network is92.5%.

کلمات کلیدی:
Maintenance, Electromotor, FFT spectrum, Self-Organize Map Neural Network

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/849318/