中国机械工程2013，Vol.24Issue(2)：195-201,208,8.DOI:10.3969/j.issn.1004-132X.2013.02.011
局部特征尺度分解方法及其分量判据研究
Research on Local Characteristic-scale Decomposition and Its Stopping Criteria
摘要
Abstract
A novel adaptive time - frequency analysis method, LCD was proposed based on the study of ITD. By using the presented method,a complicated multi - component signal could be adap-tively decomposed into a number of intrinsic scale components with physically meaningful instantaneous frequencies. Basic principle of LCD was described in detail after a brief introduction to ITD. To investigate stopping criteria for iterative process,standard deviation criterion was applied to LCD,which was introduced in empirical mode decomposition(EMD). Varying with the selected adaptive time-frequency analysis method, the threshold of standard deviation criterion had no adaptability. Given the drawback of standard deviation criterion,a new adaptive stopping criterion named extreme monotonici-ty criterion was proposed,which needed not to set any thresholds. Analysis results of signals demonstrate validity of the two stopping criteria. Moreover,extreme monotonicity criterion gains more applicability than standard deviation criterion and can be also directly applied to EMD. Additionally,computational efficiency of LCD and EMD was investigated,and the comparative analysis results show that LCD is superior to EMD in computational efficiency.关键词
自适应时频分析/局部特征尺度分解/内禀时间尺度分解(ITD)/极值单调性判据Key words
adaptive time-frequency analysis/local characteristic-scale decomposition(LCD) /intrinsic time -scale decomposition(ITD) /extreme monotonicity criterion分类
机械制造引用本文复制引用
杨宇,曾鸣,程军圣..局部特征尺度分解方法及其分量判据研究[J].中国机械工程,2013,24(2):195-201,208,8.基金项目
国家自然科学基金资助项目(51075131,51175158) （51075131,51175158）
湖南省自然科学基金资助项目(11JJ2026) （11JJ2026）
湖南大学汽车车身先进设计制造国家重点实验室自主研究课题(60870002) （60870002）
中央高校基本科研业务费专项资金资助项目(531107040301) （531107040301）
