摘要
根据电力电子装置故障产生的信号表现的奇异性,提出了一种基于小波分析的电力电子开路故障的小波分行检测方法。以三相桥式整流电路的开路故障为研究对象,将各类故障的电压输出波形进行多尺度分解,然后利用改进的关联维数计算方法计算不同故障状态下的关联维数,来刻画不同故障对应的不规则程度判断故障的类型,通过判断出现奇异性的时机判断具体器件的开路故障。最后给出故障诊断的算法,仿真结果表明了该方法的有效性。
A wavelet and fractal method is presented to detect opening fault of power electronic circuit based on singularity of fault signal from power electronic equipment. Voltage wave signals of variable faults are multl-scale decomposed by wavelet transform. The correlative dimensions of high frequency signals of wavelet transform are computed in different fault state, which are used to determine the fault types of apparatus. The fault position of apparatus is judged by the emergence time of singularity. The algorithm of fault recognition is presented. Simulation results show the effectiveness of the proposed method.
出处
《控制工程》
CSCD
2008年第3期337-341,共5页
Control Engineering of China
基金
国家自然科学基金重点资助项目(60634020)
湖南省自然科学基金资助项目(06JJ30031)
中国博士后科学基金资助项目(20060400885)
关键词
电力电子装置
故障诊断
奇异性
小波分析
关联维数
power electronic equipment
fault diagnosis
singularity
wavelet analysis
correlative dimension
