摘要
通过对鼠笼式异步电机故障电流信号的研究,提出了一种基于混沌以及分形理论的电机故障诊断方法。用互信息量确定了信号时间序列相空间重构的最佳延时,并对关联维数、分形维数进行了分析和计算,探讨了故障和正常状态下信号的混沌及分形特性。根据电机定子电流在不同工作情况下的分形维数和关联维数,便可确定电机故障的类型。
By studying the signal of squirrel-cage asynchronous motor fault current, an diagnostic method bases on chaotic and fractal theory about motor fault is proposed. The best delay of the phase space reconstruction of signal time series are determined by using mutual information, and calculates and analyzes the correlation dimension and fractal dimension, discusses the chaos and fractal characteristics of signal in fault and normal state. According to fractal dimension and correlation dimension of motor stator current under different working condition , determines the type of motor fault.
出处
《山西焦煤科技》
2014年第12期25-28,共4页
Shanxi Coking Coal Science & Technology
关键词
混沌理论
分形
故障诊断
相空间重构
盒子维数
关联维数
Chaos theory
Fractal
Fault diagnosis
Phase space reconstruction
Box dimension
Correlation dimension
