Process Entropy Feature Analysis and Quantitative Diagnosis for Rotor Vibration Fault

摘要：

For the shortcoming of diagnosis in status characterization, the complexity of vibration process and the randomcity of vibration fault generated, a method of fault features analysis and quantitative diagnosis comes up based on the information entropy theory in this paper. First of ail, four typical failures of rotor vibration was simulated based on rotor experiment and vibration fault data under more points and multi-speed was collected; Secondly, the power spectrum entropies (power spectrum entropy) which are fault features reflecting vibration process were extracted and information entropy matrixes which could describes the change disciplinarian of rotor ibration under more measurement points and multispeed were calculated through analyzing and processing the datum; Finally, the validity of this method between distinguishing the rotor fault types and determining the fault severity is proved to be effective by example calculation and quantitative diagnosis analysis of rotor vibration fault signals.

关键词： information entropy rotor vibration fault diagnosis ponderance power spectrum entropy

作者: FEI Chengwei BAI Shusheng AI Yanting BAI Guangchen MA Shuang

作者单位: School of Jet Propulsion Beijing University of Aeronautics and Astronautics Beijing, 100191, China Power and Energy Engineering College Shenyang Aerospace University Shenyang, 110136, China Institute of Plant Protection, Chinese Academy of Agricultural Sciences Beijing, 100193, China

会议类型: 国际会议

会议名称: 2011 International Conference on Database and Data Mining(ICDDM 2011)(2011年数据库和数据挖掘国际会议)

会议地点: 三亚

会议语种:英文

页码: 17-21

在线出版日期: 2011-03-25（万方平台首次上网日期，不代表论文的发表时间）