PCD2.M110PCD2.M110PCD2.M110SVM基于以上的原理特性在变换器故障诊断中得到了广泛的应用。文献[30]针对级联H桥多电平逆变器的特性，提出了傅里叶变换、相对主成分分析和SVM相结合的方法对逆变器的输出电压进行故障诊断。文献[31]采用离散正交小波变换对三相电压型逆变器的输出电压进行分解，并获得了相应的小波系数矩阵，混合SVM对小波系数矩阵进行训练、诊断和分类。文献[32]采用***遗传算法和SVM的方法，对电力电子逆变器的4个参数进行故障诊断。文献[33]检测中点钳位逆变器的上、中、下桥臂的电压，多层级SVM对通过傅里叶变换的特征向量进行训练，其故障诊断***率高。文献[34]将相对主成分分析和SVM的方法运用于诊断级联H桥多电平逆变器的故障，与传统的反向传播***网络和SVM进行对比，文献所提的方法减少了计算时间且提高了诊断精度。SVM在变换器的故障诊断中虽ASEABROWNBOVERIT5HQ300CWASEABROWNBOVERIT5L600CWA2BS4ASEABROWNBOVERIT4L100CWASEABROWNBOVERIB1F1-2E24FASEABROWNBOVERIA75NSF4-8D6CFASEABROWNBOVERIP1F1-2E24JASEABROWNBOVERIAFN21BX-CE17U9ASEABROWNBOVERIXT2HU4100GFF000XXXASEABROWNBOVERIXT4HQ3250EFFBC0XXXASEABROWNBOVERIAFN31B2-CE18ASEABROWNBOVERIAF754F2-CEF4ASEABROWNBOVERIT5H400C0FASEABROWNBOVERI2TLA020070R1710ASEABROWNBOVERIT7H1200ELS0ASEABROWNBOVERIT7H1200ELS6ASEABROWNBOVERIT7MSFC3BB00A000XXASEABROWNBOVERIT4S080TWA3AUS8ASEABROWNBOVERIXT4SU3250E66D0CXXXASEABROWNBOVERIXT4LU4250JFF000XXXASEABROWNBOVERIAFN31F2-CE14H9ASEABROWNBOVERIT4SQ150TWS8ASEABROWNBOVERIAFN31B2-DD8DASEABROWNBOVERIA75CM4-0/BACASEABROWNBOVERITS3NQ225TS0-4AS8ASEABROWNBOVERIT5H400BWA2BS4ASEABROWNBOVERIAFN31B1-AFAJ9ASEABROWNBOVERIXT4LU4225EFF000XXXASEABROWNBOVERIXT4LU4250EFF000XXXASEABROWNBOVERIT4SQ250BLAS9ASEABROWNBOVERIT5HQ300BWASEABROWNBOVERIXT2VE3100FFF000XXX)