辽宁工程技术大学学报（自然科学版）2012，Vol.31Issue(1)：123-126,4.
谐波小波在旋转机械故障诊断中的应用
Application of harmonic wavelet in rotating machinery fault diagnosis
摘要
Abstract
In order to identify the shaft orbit of rotating machinery with a non stationary signal, a filter purification method based on harmonic wavelet is developed. Harmonic wavelet has clear function expressions and simple algorithms. In addition, it owns a good box shape spectrum characteristic, and can decompose signal into independent space in a neither overlapping nor missing manner, which is convenient for extracting signal features. Harmonic wavelet filter purification can separate fault information from the original signals of shaft orbit. Therefore, the shape of the shaft orbit can be obtained, which provides the basis for fault diagnosis on rotating machinery. The simulation experiments show that the filter purification method is simple, and has a practical value.关键词
旋转机械/谐波小波/故障诊断/轴心轨迹/滤波提纯/识别/小波/振动信号Key words
rotating machinery/ harmonic wavelet/ fault diagnosis/ shaft orbit/ filter purification/ identification/wavelets/ vibration signal分类
信息技术与安全科学引用本文复制引用
李彦彦,华晨辉..谐波小波在旋转机械故障诊断中的应用[J].辽宁工程技术大学学报（自然科学版）,2012,31(1):123-126,4.基金项目
河南省科技攻关基金资助项目(092102310233) （092102310233）
