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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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【Citations】
Chinese Journal Full-text Database 3 Hits
1 ;Fault Diagnosis of Power Electronic Circuits Based on Neural Network[J];POWER ELECTRONICS;1997-04
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【Co-references】
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1 SONG Wen-xiang, CHEN Guo-cheng (School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China);Study on SVPWM method for three-level neutral-point-clamped (NPC) inverter[J];Advanced Technology of Electrical Engineering and Energy;2004-04
2 Cui Bowen Zhou Jihua (Northwestern Polytechnic University);Fault Diagnosis Study on PWM Inverter[J];Electrotechnical Journal;2001-07
3 WU Xiao-hua, SHI Zhong-ke, ZHANG Xiao-bing(Northwestern Polytechnic University, xi'an 710072, China);On-line Fault Diagnosis Research and Design for 3-Phase lnverter based on DSP[J];Power Electronics;2004-02
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1 ;Fault Diagnosis of Power Electronic Circuits Based on Neural Network[J];POWER ELECTRONICS;1997-04
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