基于数学形态学广义分形维数逆变器故障诊断
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摘要
基于逆变器开路故障输出电流波形的差异,提出将形态学广义分形维数运用于逆变器故障检测中。将逆变器三相输出电流按a,b,c三相依次取六个不同参数下的形态学广义分形维数作为ELM神经网络的输入,以故障类型作为神经网络的输出。仿真结果显示该方法的故障区分率高达97.62%。基于三相输出电流的形态广义分形维数能够准确的识别出逆变器在各种故障状态下的电流信号,为逆变器开路故障诊断提供了一种简单准确的新方法。
Based on the current waveform differences output by inverters with open-circuit fault, this paper puts forward the application of mathematical morphology-based generalized fractal dimensions for inverter fault diagnosis. Mathematical morphology-based generalized fractal dimensions with six parameters in the sequence of three-phase output current(a,b,c) are taken as the input of Elman Neural Network, and fault types are set as the output. The simulation result shows that the fault discrimination rate is up to 97.62%. The current signals under various conditions of breakdown can be identified properly by mathematical morphology-based generalized fractal dimensions of three-phase output current, which may provide a new and precise method for open-circuit fault diagnosis.
Based on the current waveform differences output by inverters with open-circuit fault, this paper puts forward the application of mathematical morphology-based generalized fractal dimensions for inverter fault diagnosis. Mathematical morphology-based generalized fractal dimensions with six parameters in the sequence of three-phase output current(a,b,c) are taken as the input of Elman Neural Network, and fault types are set as the output. The simulation result shows that the fault discrimination rate is up to 97.62%. The current signals under various conditions of breakdown can be identified properly by mathematical morphology-based generalized fractal dimensions of three-phase output current, which may provide a new and precise method for open-circuit fault diagnosis.
引文
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[6]崔江,王强,龚春英.结合小波与Concordia变换的逆变器功率管故障诊断技术研究[J].中国电机工程学报,2015,12(35):3111-3116.
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[13]胡清,王荣杰,詹宜巨.基于支持向量机的电力电子电路故障诊断技术[J].中国电机工程学报,2008,28(12):107-111.
[14]李沁,张劲松.基于分形的电力电子电路故障诊断[J].电气技术,2007(11):27-30,42.
[15]宋平岗,文发.基于LMS形态滤波和Hilbert变换的电能质量扰动定位[J].华东交通大学学报,2015,32(1):86-92.
[16]宋平岗,周军.基于形态学广义分形维数的电力电子电路故障诊断[J].电工电能新技术,2014,33(12):53-59.
[17]李兵,张培林,任国全,等.形态学广义分形维数在发动机故障诊断中的应用[J].振动与冲击,2011,30(10):30-10.
[18]赵春晖.形态滤波器原理及应用[M].哈尔滨:哈尔滨工程大学出版社,2013.
[2]宋平岗,周军,蔡双.基于形态学分形维数的输电线路故障选相方法[J].华东交通大学学报,2014,31(3):88-94.
[3]LU B,SANTOSH K S.A Literature review of IGBT fault diagnostic and protection methods for power inverters[J].IEEE Transationson Industry Applications,2009,45(5):1770-1777.
[4]于泳,蒋生成,杨荣峰,等.变频器IGBT开路故障诊断方法[J].中国电机工程学报,2011,31(9):30-35.
[5]杨忠林,吴正国,李辉.基于直流侧电流检测的逆变器开路故障诊断方法[J].中国电机工程学报,2008,28(27):18-22.
[6]崔江,王强,龚春英.结合小波与Concordia变换的逆变器功率管故障诊断技术研究[J].中国电机工程学报,2015,12(35):3111-3116.
[7]安群涛,孙力,赵克,等.基于开关函数模型的逆变器开路故障诊断方法[J].中国电机工程学报,2010,30(6):1-6.
[8]CRUZ S M A,FERREIRA M,CARDOSO A J M.Output error voltages-a first method to detect and locate faults in matrix converters[C]//Proceedings of the 34th Annual Conference of IEEE Industrial Electronics,Orlando,Florida,USA,2009:1319-1325.
[9]汤清泉,颜世超,卢松升,等.三电平逆变器的功率管开路故障诊断[J].中国电机工程学报,2008,28(21):26-32.
[10]刘艳,李海燕.三相逆变器功率管故障智能诊断研究[J].电测与仪表,2013,50(1):15-20.
[11]PEUGET R,COURTINE S,ROGNON J P.Fault Detection and Isolation on a PWM Inverter by Knowledge-Based Model[J].IEEE Transactions on Industry Applications,1998,34(6):1318-1326.
[12]ROTHENHAGEN K,FUCHS F W.Performance of Diagnosis Methods for IGBT Open Circuit Faults in Voltage Source Active Rectifiers[C]//Proceedings of the 35th Annual IEEE Power Electronics Specialists Conference,2011:4348-4354.
[13]胡清,王荣杰,詹宜巨.基于支持向量机的电力电子电路故障诊断技术[J].中国电机工程学报,2008,28(12):107-111.
[14]李沁,张劲松.基于分形的电力电子电路故障诊断[J].电气技术,2007(11):27-30,42.
[15]宋平岗,文发.基于LMS形态滤波和Hilbert变换的电能质量扰动定位[J].华东交通大学学报,2015,32(1):86-92.
[16]宋平岗,周军.基于形态学广义分形维数的电力电子电路故障诊断[J].电工电能新技术,2014,33(12):53-59.
[17]李兵,张培林,任国全,等.形态学广义分形维数在发动机故障诊断中的应用[J].振动与冲击,2011,30(10):30-10.
[18]赵春晖.形态滤波器原理及应用[M].哈尔滨:哈尔滨工程大学出版社,2013.