计量学报2012，Vol.33Issue(3)：232-235,4.DOI:10.3969/j.issn.1000-1158.2012.03.09
基于多重分形去趋势波动的机械故障诊断新方法
A New Method of Machinery Fault Diagnosis Based on Multifractal Detrended Fluctuation Analysis
摘要
Abstract
Aiming at the complex features of the fault signal of rotating machinery such as nonstalionary and nonlinearity, a new method of machinery fault diagnosis based on multifractal detrended fluctuation analysis (MF-DFA) was introduced. Hie original signal is proceed by the MF-DFA , then the fractal parameters (the area of multifractal spectrum and multifractal entropy) were extracted as new criterions to diagnose machinery faults. Results of experimental analysis indicate that the method is effective and it provides a new way in fault diagnosis machinery of rotating machinery.关键词
计量学/故障诊断/多重分形去趋势波动分析/多重分形谱面积/多重分形熵Key words
Metrology/ Fault diagnosis/ Multifractal detrended fluctuation analysis/ Area of multifractal spectrum/ Multifractal entropy分类
通用工业技术引用本文复制引用
王书涛,李梅梅,张淑清,张金敏,赵玉春..基于多重分形去趋势波动的机械故障诊断新方法[J].计量学报,2012,33(3):232-235,4.基金项目
国家自然科学基金(51075349,61077071) （51075349,61077071）
河北省自然科学基金(F2011203207) （F2011203207）
