A Fault Detection Approach for Aero-Engines Based on PCA

摘要：

Traditional fault detection approaches for aero engines based on PCA cannot effectively detect faults when the data does not follow the normal distribution.Meanwhile, there are few effective methods for the elimination of outliers during the modeling thus the model precision cannot be guaranteed. Aiming at a solution of the problems above, a new fault detection approach for aero-engines based on PCA is proposed,including the PCA-KDE fault detection approach and the R-PCA outliers elimination approach.The instance analysis on a turbofan engine shows that this approach is able to detect potential faults accurately and can provide the maintenance staff with evidences for early elimination.

关键词： aero-engines fault detection principle component analysis kernel density estimation

作者: Zhang Lin Huang Min Hong Dongpao

作者单位: Dept of System Engineering of Engineering Technology Bcihang University Beijing 100191,China

会议类型: 国际会议

会议名称: 2009 8th International Conference on Reliability,Maintainability and Safety(第八届中国国际可靠性、维修性、安全性会议)

会议地点: 成都

会议语种:英文

页码: 874-878

在线出版日期: 2009-08-24（万方平台首次上网日期，不代表论文的发表时间）