中国机械工程2017，Vol.28Issue(3)：348-352,5.DOI:10.3969/j.issn.1004-132X.2017.03.016
基于AR模型和谱熵的自适应小波包络检测
Adaptive Wavelet Envelope Detection Based on AR Model and Spectral Entropy
摘要
Abstract
For the envelope problems of traditional fault diagnosis,a method of adaptive complex analytic wavelet envelope detection was proposed based on AR model and spectral entropy herein.The method eliminated the stationary components for linear prediction from the mechanical vibration signals by AR model,and extracted the non-stationary components of resonance damping.The generated signals were enveloped by complex analytic wavelet in different frequency bands,the best envelope was selected based on the correlation between the spectral entropy and the band-pass filter in the frequency domain.This method owns higher adaptivity,better robustness and envelope effectiveness than that of the traditional one.Thus it has favorable prospect in engineering applications.关键词
自回归预测/小波变换/谱熵/包络检测Key words
auto regressive (AR) prediction/wavelet transform/spectral entropy/envelope detection分类
机械制造引用本文复制引用
何翔,高宏力,郭亮,吴远昊..基于AR模型和谱熵的自适应小波包络检测[J].中国机械工程,2017,28(3):348-352,5.基金项目
国家自然科学基金资助项目(51275426) （51275426）
