摘要
对电机故障信号利用小波包算法进行分解,应用小波包频率分辨率高的特性,提取出包含电机故障特征频率分量的局部频段进行分析,通过对小波包分解系数与正常无故障时的分解系数相比较,判断有无故障的发生,并在Matlab环境下进行了仿真实验.
This paper decompounds motor fault signal with Wavelet Packet Algorithm, takes advantages of the characteristic of high resolution of Wavelet Packet frequency to make analysis on partial frequency band which contains the heft of motor fault eigenfrequency. Via the comparison between the eoetticient of wavelet packet decomposition and the normal decomposition without fault, this paper estimates if a fault exists and carries out emulational experiments in MATLAB condition.
出处
《重庆工学院学报》
2007年第13期107-110,共4页
Journal of Chongqing Institute of Technology
基金
重庆市教委资助项目"非线性系统智能故障诊断技术研究"(040607)
关键词
小波包
异步电机
故障检测
wavelet packet
asynchronous motor
fault detection
