Research Advances and Challenges of Reliability Assessment of Complex Equipment Based on Small Sample Failure Data

With the development of complex equipment which integrates mechanical, electrical, hydraulic and other technologies towards the direction of high reliability, long life and high cost, small sample failure data, even no failure data, appears in the reliability timing censoring test frequently. On the...

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Autor principal:	Li Zhiqiang, Wang Xin, Chen Yuqi, Gu Junyuan
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Aero Weaponry 2021
Materias:	\|small sample\|reliability assessment\|uncertainty\|bayesian network\|selective maintenance Motor vehicles. Aeronautics. Astronautics TL1-4050
Acceso en línea:	https://doaj.org/article/eb019e5406c84009a051b5e42e0891b7
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spelling	oai:doaj.org-article:eb019e5406c84009a051b5e42e0891b72021-11-30T00:13:41ZResearch Advances and Challenges of Reliability Assessment of Complex Equipment Based on Small Sample Failure Data1673-504810.12132/ISSN.1673-5048.2020.0137https://doaj.org/article/eb019e5406c84009a051b5e42e0891b72021-06-01T00:00:00Zhttps://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/1628469492113-1769256429.pdfhttps://doaj.org/toc/1673-5048With the development of complex equipment which integrates mechanical, electrical, hydraulic and other technologies towards the direction of high reliability, long life and high cost, small sample failure data, even no failure data, appears in the reliability timing censoring test frequently. On the basis of explaining the characteristics of machine-level and system-level complex equipment with multi-source reliability data, uncertain data information, and continuous execution of tasks, this paper summarizes the research status of reliability evaluation of small sample failure data from three aspects of prior information, data expansion and multi-source information fusion. The shortcomings of the existing research are summarized, and the development trend and research focus of reliability assessment of complex equipment in the future are put forward. A new idea of applying Bayesian network to quantify the uncertainty in complex equipment is proposed, and the research of selective maintenance optimization on group equipment based on reliability assessment is carried out.Li Zhiqiang, Wang Xin, Chen Yuqi, Gu JunyuanEditorial Office of Aero Weaponryarticle\|small sample\|reliability assessment\|uncertainty\|bayesian network\|selective maintenanceMotor vehicles. Aeronautics. AstronauticsTL1-4050ZHHangkong bingqi, Vol 28, Iss 3, Pp 83-90 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	\|small sample\|reliability assessment\|uncertainty\|bayesian network\|selective maintenance Motor vehicles. Aeronautics. Astronautics TL1-4050
spellingShingle	\|small sample\|reliability assessment\|uncertainty\|bayesian network\|selective maintenance Motor vehicles. Aeronautics. Astronautics TL1-4050 Li Zhiqiang, Wang Xin, Chen Yuqi, Gu Junyuan Research Advances and Challenges of Reliability Assessment of Complex Equipment Based on Small Sample Failure Data
description	With the development of complex equipment which integrates mechanical, electrical, hydraulic and other technologies towards the direction of high reliability, long life and high cost, small sample failure data, even no failure data, appears in the reliability timing censoring test frequently. On the basis of explaining the characteristics of machine-level and system-level complex equipment with multi-source reliability data, uncertain data information, and continuous execution of tasks, this paper summarizes the research status of reliability evaluation of small sample failure data from three aspects of prior information, data expansion and multi-source information fusion. The shortcomings of the existing research are summarized, and the development trend and research focus of reliability assessment of complex equipment in the future are put forward. A new idea of applying Bayesian network to quantify the uncertainty in complex equipment is proposed, and the research of selective maintenance optimization on group equipment based on reliability assessment is carried out.
format	article
author	Li Zhiqiang, Wang Xin, Chen Yuqi, Gu Junyuan
author_facet	Li Zhiqiang, Wang Xin, Chen Yuqi, Gu Junyuan
author_sort	Li Zhiqiang, Wang Xin, Chen Yuqi, Gu Junyuan
title	Research Advances and Challenges of Reliability Assessment of Complex Equipment Based on Small Sample Failure Data
title_short	Research Advances and Challenges of Reliability Assessment of Complex Equipment Based on Small Sample Failure Data
title_full	Research Advances and Challenges of Reliability Assessment of Complex Equipment Based on Small Sample Failure Data
title_fullStr	Research Advances and Challenges of Reliability Assessment of Complex Equipment Based on Small Sample Failure Data
title_full_unstemmed	Research Advances and Challenges of Reliability Assessment of Complex Equipment Based on Small Sample Failure Data
title_sort	research advances and challenges of reliability assessment of complex equipment based on small sample failure data
publisher	Editorial Office of Aero Weaponry
publishDate	2021
url	https://doaj.org/article/eb019e5406c84009a051b5e42e0891b7
work_keys_str_mv	AT lizhiqiangwangxinchenyuqigujunyuan researchadvancesandchallengesofreliabilityassessmentofcomplexequipmentbasedonsmallsamplefailuredata
_version_	1718406897031184384

Research Advances and Challenges of Reliability Assessment of Complex Equipment Based on Small Sample Failure Data

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