基于粗糙集-神经网络的三相SPWM逆变电路故障诊断研究  

Study of Fault Diagnosis on Three-phase Sine-PWM Inverter Based on Rough Set-neural Network System

作　　者：梁虹[1] 王艳秋[1] 

机构地区：[1]辽宁工学院信息科学与工程学院,辽宁锦州121001

出　　处：《辽宁工学院学报》2005年第6期351-353,共3页Journal of Liaoning Institute of Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(60274024);辽宁省教育厅资助项目(202163346)

摘　　要：以三相SPWM逆变电路为研究对象,利用MATLAB仿真软件建立故障仿真模型。针对故障诊断中冗余及不完整的信息常使诊断规则误报、漏报的现象,采用粗糙集-神经网络对三相逆变电路进行故障诊断,优化了神经网络结构,提高诊断速度。仿真实验表明该方法取得了良好的故障诊断效果。The fault simulation model was set up with MATLAB simulation software in three-phase 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 result proved that this method obtained better effect about the fault diagnosis speed. The simulation diagnosis.

关 键 词：故障诊断 粗糙集-神经网络 三相SPWM逆变电路 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]