噪声与振动控制2016，Vol.36Issue(3)：179-183,5.DOI:10.3969/j.issn.1006-1335.2016.03.037
K-SVD小波降噪在齿轮故障诊断中应用
Application of K-SVD Wavelet Denoising to Gear Fault Diagnosis
摘要
Abstract
For the large noise disturbance in the early stage gear fault diagnosis, it is difficult to extract the fault features. In this paper, a new method of wavelet denoising method based on K-SVD sparse representation is proposed. This method can overcome the disadvantage of the conventional threshold method that it only deals with the wavelet coefficients one by one but ignores the whole structure of the coefficients. In this method, the wavelet coefficient structure characteristic is sufficiently considered. It has good robustness even in strong noise background. Through the analysis of simulated signals and measured signals of an aero-engine gear hub, the correctness and validity in engineering application of the proposed method are verified.关键词
振动与波/齿轮故障诊断/小波降噪/K-SVD/稀疏表示Key words
vibration and wave/fault diagnosis of gear/wavelet denoising/K-SVD/sparse representation分类
机械制造引用本文复制引用
钟也磐,陈卫..K-SVD小波降噪在齿轮故障诊断中应用[J].噪声与振动控制,2016,36(3):179-183,5.基金项目
国家自然科学基金“航空发动机刚度非线性转子动力学特性与参数识别研究”资助(51175509) （51175509）
