Intelligence Maintenance of Electromotor with Self Organize Map network (SOM)
Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICIRES02_027
تاریخ نمایه سازی: 27 اردیبهشت 1398
Abstract:
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%.
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Authors
Peyman Navidy
Master of Science of agricultural machinery engineering, Islamic Azad University Kermanshah Branch Kermanshah, Iran