小波技术在机械设备故障诊断中的研究现状  

Development and status of research wavelet technology for mechanical diagnosis

作　　者：潜凌[1] 齐明侠[2] 吴苗法[1] 

机构地区：[1]胜利油田高原石油装备有限责任公司,山东东营257001 [2]中国石油大学(华东)机电工程学院,山东东营257061

出　　处：《石油矿场机械》2006年第2期13-17,共5页Oil Field Equipment

摘　　要：阐述了小波的概念及发展过程。总结了近年小波技术在机械故障诊断领域,如时域处理、频域处理、能量带监测、小波降噪、小波对信号进行奇异性识别、小波分形技术及在人工神经网络、模糊数学等中的研究现状及应用情况。The conception and development of wavelet are introduced. The status of research and application wavelet technology are summarized, which are applied in the field of mechanical monitoring and diagnosis, such as time analysis, frequency analysis, wavelet transform denoise, wavelet and fractal technology, and are banded together with artificial neural network, fuzzy mathematics.

关 键 词：小波分析 振动信号 信号处理 故障诊断 

分 类 号：TE9[石油与天然气工程—石油机械设备]