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《Journal of Liaoning Institute of Technology》 2005-06
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Study of Fault Diagnosis on Three-phase Sine-PWM Inverter Based on Rough Set-neural Network System

LIANG Hong,WANG Yan-qiu(Information Science & Engineering College,Liaoning Institute of Technology,Jinzhou 121001,China)  
The fault simulation model was set up with MATLAB simulation software in threephase Sine-PWM inverter circuit.Having the phenomena of redundancy and imperfect information in the fault diagnosis,the rough set-neural network was adopted to diagnose faults in three-phase inverter circuit,thus,optimized the structure of network and improved the diagnosis speed.The simulation result proved that this method obtained better effect about the fault diagnosis.
【Fund】: 国家自然科学基金资助项目(60274024);; 辽宁省教育厅资助项目(202163346)
【CateGory Index】: TM464
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