期刊
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
卷 72-73, 期 -, 页码 2-31出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2015.11.008
关键词
Prognostics; Particle filters; Implementation; Issues; Challenges
资金
- French National Research Agency [ANR-12-PRGE-0001, ANR-11-LABX-01-01]
Particle filters are of great concern in a large variety of engineering fields such as robotics, statistics or automatics. Recently, it has developed among Prognostics and Health Management (PHM) applications for diagnostics and prognostics. According to some authors, it has ever become a state-of-the-art technique for prognostics. Nowadays, around 50 papers dealing with prognostics based on particle filters can be found in the literature. However, no comprehensive review has been proposed on the subject until now. This paper aims at analyzing the way particle filters are used in that context. The development of the tool in the prognostics' field is discussed before entering the details of its practical use and implementation. Current issues are identified, analyzed and some solutions or work trails are proposed. All this aims at highlighting future perspectives as well as helping new users to start with particle filters in the goal of prognostics. (C) 2015 Elsevier Ltd. All rights reserved.
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