中国机械工程Issue(11)：1464-1470,7.DOI:10.3969/j.issn.1004132X.2015.11.008
自主致密局部特征尺度分解方法及其应用
Method of Autonomous Compact Local Characteristic-scale Decomposition and Its Applications
摘要
Abstract
The least extrema scale was defined to measure other signal scales for restraining the mode mixing problem of LCD,and by adding pseudo-extrema autonomously to homogenize the signal scales.Based on this,a novel method of ACLCD was proposed.Compact coefficient was introduced, and the optimal evaluation criteria of compact coefficient was given.The paper firstly studied the the-ory of ACLCD,then simulation experiments were used to compare the performance of ACLCD with LCD and empirical mode decomposition(EMD).The results indicate that ACLCD is more efficient in improving the veracity,orthogonality in components and inhibiting the mode mixing than that of LCD and EMD.Finally,the proposed method was applied to diagnose the rotor with rub-impact fault suc-cessfully which indicates the effectiveness of ACLCD.关键词
自主致密局部特征尺度分解/局部特征尺度分解/模态混叠/最优致密系数/内禀尺度分量Key words
autonomous compact local characteristic-scale decomposition(ACLCD)/local charac-teristic-scale decomposition(LCD)/mode mixing/optimal compact coefficient/intrinsic scale compo-nent(ISC)分类
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吴占涛,程军圣,李宝庆,郑近德..自主致密局部特征尺度分解方法及其应用[J].中国机械工程,2015,(11):1464-1470,7.基金项目
国家自然科学基金资助项目(51375152) （51375152）
湖南省科技计划资助项目(2014WK3005) （2014WK3005）
