@inproceedings{f84a59fcfdc74c20b78c3053d036a934,
title = "Trend prognosis of aero-engine abrupt failure based on affinity propagation clustering",
abstract = "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.",
keywords = "Aero-engine abrupt failure, Affinity propagation clustering, Clustering analysis, Trend prognosis",
author = "Limin Li and Zhongsheng Wang and Zhenbao Liu and Shuhui Bu",
year = "2014",
doi = "10.1007/978-3-642-54233-6\_2",
language = "英语",
isbn = "9783642542329",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
number = "VOL. 2",
pages = "13--22",
booktitle = "Proceedings of the First Symposium on Aviation Maintenance and Management",
edition = "VOL. 2",
note = "2013 1st Symposium on Aviation Maintenance and Management ; Conference date: 25-11-2013 Through 28-11-2013",
}