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Advances in Mechanical Engineering Volume 11 ,Issue 12 ,2019-12-01
Health indicator construction and remaining useful life prediction for space Stirling cryocooler
Research Article
Lei Song 1 Haoran Liang 1 Wei Teng 2 Lili Guo 1
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DOI:10.1177/1687814019896734
Received 2019-8-7, accepted for publication 2019-11-28, Published 2019-12-01
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摘要

Stirling cryocoolers are widely used to refrigerate significant facilities in military and aerospace applications. However, under the influences of high-frequency piston motion and thermal environment deterioration, the refrigerating performance of Stirling cryocoolers will worsen inevitably, thus affecting the successful accomplishment of space mission. In this article, a methodology on assessing the performance of space Stirling cryocoolers is proposed, which involves the analysis of the failure mechanism, health indicator construction and remaining useful life prediction of the cryocooler. The potential factors affecting the refrigerating performance are discussed first. In view of these, three health indicators representing the degradation process of cryocoolers are constructed and then a multi-indicator method based on particle filter is proposed for remaining useful life prediction. Finally, the proposed method is validated by a Stirling cryocooler from one retired aircraft, and the results show that the constructed health indicators and remaining useful life prediciton approaches are effective for performance assessment of Stirling cryocooler.

关键词

Stirling cryocooler;remaining useful life prediction;multi-indicator-based particle filter;Failure analysis

授权许可

© The Author(s) 2019
This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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通讯作者

Wei Teng.Key Laboratory of Condition Monitoring and Control for Power Plant Equipment of Ministry of Education, North China Electric Power University, Beijing, China.tengw@ncepu.edu.cn

推荐引用方式

Lei Song,Haoran Liang,Wei Teng,Lili Guo. Health indicator construction and remaining useful life prediction for space Stirling cryocooler. Advances in Mechanical Engineering ,Vol.11, Issue 12(2019)

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