基于小波和支持向量机的逆变器开关开路故障诊断

Cui Bowen, Tian Wei
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引用次数: 6

摘要

提出了一种基于小波和支持向量机的逆变电机电源开关开路故障检测与诊断技术。对逆变器的输出电流进行小波变换处理,得到递归小波变换的系数值,该值可用于故障检测。通过小波变换得到层细节系数及其能量,通过能量归一化得到故障特征。采用三类SVM对交换机故障进行隔离。使用SVM1和SVM2对测试样本的分类准确率分别为95.6和93.3%。仿真结果表明,该方法能有效地检测和隔离故障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Switch open-circuit faults diagnosis of inverter based on wavelet and support vector machine
The paper presents a technique of fault detection and diagnosis for open-circuit fault of power switch in inverter-fed motor drives based on wavelet and support vector machine (SVM). The output current of the inverter is processed by wavelet transform, the coefficient value of the recursive wavelet transform is obtained and the value can be used for fault detection. The layer detail coefficient and its energy are obtained by wavelet transform and the fault features are got by normalized the energy. Tri-class SVM is used to isolate switch faults. The classification accuracies obtained from the testing samples are 95.6 and 93.3% with SVM1 and SVM2, respectively. The simulation results show that the method can detect and isolate the faults effectively.
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