Trend Prognosis of Aero-Engine Abrupt Failure Based on Affinity Propagation Clustering
This paper presented a new method for trend prognosis of aero-engine abrupt failure which was based on clustering analysis.We used affinity propagation method to cluster vibration data from aero-engine rotating machinery to find the failure trend by means of features extracted from it.This system could remind rapidly which failure will happen next.It is possible to be applied to trend prognosis of aero-engine abrupt failure in airlines.
Trend prognosis Aero-engine abrupt failure Clustering analysis Affinity propagation clustering
Limin Li Zhongsheng Wang Zhenbao Liu Shuhui Bu
School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, People’s Republic of China
国际会议
西安
英文
13-22
2013-11-25(万方平台首次上网日期,不代表论文的发表时间)