شماره ركورد كنفرانس :
583
عنوان مقاله :
Comparing performance of MLP and SOM for fault diagnosis an Electromotor
پديدآورندگان :
Ahmad Hojjat نويسنده University of Tehran - Professor of agricultural machinery engineering department , Mollaei Mohammad نويسنده University of Tehran - M. Sc student of agricultural machinery engineering , Shokrian Ashkan نويسنده University of Tehran - M. Sc student of agricultural machinery engineering
كليدواژه :
Multi-layer perceptron (MLP) , FFT Spectrum , selforganizing Maps , Fault Diagnosis , Electromotor
عنوان كنفرانس :
نهمين كنفرانس ملي نگهداري و تعميرات
چكيده لاتين :
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.
شماره مدرك كنفرانس :
4490309
