Vibration Fault Diagnosis of Aero-engine Rotor System Based on Recurrence Quantification Analysis

摘要：

Aero-engine rotor system is the core component of engine. Aim at difficulties of fault diagnosis of engine rotor system, a method to detect the fault feature is proposed, which is based on recurrence plot (RP) and recurrence quantification analysis(RQA) by research of the characteristics and the mechanism of faults. An experiment is used to detect the fault of rotor system by using this new method. The results showed that the RQA is an effective way to extract features from vibration signal and by the use of quantitative features it is possible to identify and classify different types of rotor. Comparing with classical statistical features, the proposed algorithm has better classification rate. The research will be helpful in the further study of fault diagnosis of rotor system.

关键词： Signal, Recurrence plot(RP) Recurrence quantification analysis(RQA) Neural network

作者: Lexi Ll Shengli HOU Renheng BO Li QIAO Tao WANG

作者单位: Xuzhou Air Force College, China College of Science, Northwestern Polytechnical University, China

会议类型: 国际会议

会议名称: 2011 International Conference on Vibration,Structural Engineering and Measurement(2011年振动、结构工程与测量国际会议 ICVSEM 2011)

会议地点: 上海

会议语种:英文

页码: 680-684

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）