EEMD-1.5 Dimension Spectrum Applied to Locomotive Gear Fault Diagnosis

摘要：

The criterion of adding white noise in Ensemble Empirical Mode Decomposition (EEMD) method is established. EEMD, used for avoiding mode mixing in signal decomposition, is combined with 1.5 dimension spectrum, which is the bispectrum diagonal slice to eliminate white noise and extract nonlinear coupling feature. A new method of EEMD-1.5 dimension spectrum for fault feature extraction is proposed. Firstly, vibration signal is adaptively anti alias decomposed by EEMD to get Intrinsic Mode Functions (IMFs). Then, 1.5 dimension spectrum is adopted to process IMFs which contain fault feature. Finally, EEMD1.5 dimension spectrum is introduced into monitoring diagnosis of the gear box of the locomotive running gear, the results show that it successfully extracts an early gear crack fault feature.

关键词： EEMD 1.5 dimension spectrum EMD feature eztraction gear crack fault

作者: Lue Chen Yanyang Zi Wei Cheng Zhengjia He

作者单位: State Key Laboratory for Manufacturing System Xian Jiaotong University Xian,China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 622-625

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）