摘要
在综述了各种交流旋转机械的状态监测方法后 ,对小波变换新技术进行了介绍 ,并通过小波变换对暂态非平稳信号的分析 ,阐明了小波变换在分析暂态信号方面 ,比传统的Fourier变换更具优越性。交流旋转机械随着运行状态的劣化 ,会产生一些暂态信号。因此 ,利用小波变换来监测交流旋转机械的状态 。
AC rotating machines are important equipment of power system. Similar to the condition monitoring of transformers and other electric power equipment, the condition monitoring of AC rotating machines is of great economic and social effect. After an overview of various types of methods for condition monitoring of AC rotating machine, a new signal processing tool, wavelet transform, is presented in this paper, which is used to analyze non stationery transient signal. In the analysis of non stationery transients the wavelet transform is better than traditional Fourier transform. When the equipment condition is being deteriorated, some transients often occur. Thus wavelet transform will be a good tool for the development of novel condition monitoring scheme for AC rotating machines.
出处
《电网技术》
EI
CSCD
北大核心
2000年第8期18-22,共5页
Power System Technology
基金
国家重点基础研究发展规划项目 !( 19980 2 0 310 )
关键词
交流旋转机械
状态监测
小波变换
故障诊断
condition monitoring
fault diagnosis
AC rotating machine
wavelet transform
