噪声与振动控制2018，Vol.38Issue(2)：193-197,5.DOI:10.3969/j.issn.1006-1355.2018.02.036
基于LCD与奇异值能量差分谱的齿轮故障诊断方法
Fault Diagnosis Method of Gears based on LCD and Energy Difference Spectrum of Singular Values
摘要
Abstract
Gear is an important part of mechanical transmission, its fault has become a major factor affecting the reliability and stability of the equipment. In this paper, a fault diagnosis method of gears based on improved local characteristic-scale decomposition(LCD)and energy difference spectrum of singular values(EDSSV)is proposed.Firstly, support vector regression (SVR) is used for signal continuation processing to restrain the endpoint effects in LCD decomposition.And the accuracy and reliability of the improved LCD algorithm are analyzed. Then, combining with the theory of EDSSV de-noising,the noise components are eliminated and the signal spectrum is reconstructed so that the signal-to-noise ratio is raised. Finally, the intrinsic scale component (ISC) fuzzy entropy characteristic sets are computed by decomposing the ISC and classified by the support vector machine(SVM).Experimental results show that the proposed gear diagnosis method based on LCD and EDSSV can effectively identify the fault types of gears.关键词
振动与波/LCD/模糊熵/奇异值能量差分谱/SVM/故障诊断Key words
vibration and wave/local characteristic-scale decomposition (LCD)/fuzzy entropy/energy difference spectrum of singular value(EDSSV)/support vector machine(SVM)/fault diagnosis分类
信息技术与安全科学引用本文复制引用
丁伟,陈可弟..基于LCD与奇异值能量差分谱的齿轮故障诊断方法[J].噪声与振动控制,2018,38(2):193-197,5.基金项目
江苏高校优势学科建设工程资助项目(SZB-2014-37) （SZB-2014-37）
