ACCURATE DIAGNOSISOF OIL PUMP MISALIGNMENT FAULT BASED ON IMPROVED LMD TIME-FREQUENCY ANALYSIS

摘要：

The local mean decomposition (LMD) is a relatively new approach of adaptive signal analysis. The local means and envelope estknates of the signal need to be extracted in LMD algorithm, however, the conventional extraction approach brings some local errors and in a low ef ficiency of decomposition. To solve this problem, a new extraction approach by means of cubic B-spline fitting is proposed. The improved LMD time-frequency analysis is applied to the diagnosis of oil pump misalignment fault and the signal component of blade passng frequency component (BPF) could be extracted by this way. Then an accurate diagnosis method of misalignment fault based on BPF is proposed. The field application results verify the feasibty of accurate diagnosis that by use of BPF, and also demonstrate that the improved LMD time-frequency analysis has a higher time-frequency resolution.

关键词： locd meat decomposition cubic B-spline accwate diagynosis blade passing frequency

作者: Wang Mingda Zhang Laibin Liang Wei Duan Lixiang

作者单位: College of Mechanical and Transportation Engineering,ChinaUniversity of Petroleum,Beging,China,10224 College of Mechanical and Transportation Engineering,ChinaUniversiry of Petroleum,Beging,China,10224

会议类型: 国际会议

会议名称: The 3rd World Conference on Safety of Oil and Gas Industry(第三届世界石油天然气工业安全会议 WCOGI 2010)

会议地点: 北京

会议语种:英文

页码: 509-514

在线出版日期: 2010-09-27（万方平台首次上网日期，不代表论文的发表时间）