An Adaptive Reliability Prediction Method for the Intelligent Satellite Power Distribution System

The accurate prediction of reliability for long-time running intelligent satellite power distribution systems is crucial in engineering. In this paper, an adaptive method is proposed to achieve this goal. Based on lifetime and degradation data, an estimator of the reliability for the system is deriv...

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Autores principales:	Jun Wang, Yubin Tian
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2018
Materias:	Satellite intelligent power distribution system reliability prediction adaptive estimation recursive maximum likelihood Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/b35ea42edaaa464a833bde065b8b9040
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spelling	oai:doaj.org-article:b35ea42edaaa464a833bde065b8b90402021-11-19T00:02:43ZAn Adaptive Reliability Prediction Method for the Intelligent Satellite Power Distribution System2169-353610.1109/ACCESS.2018.2875117https://doaj.org/article/b35ea42edaaa464a833bde065b8b90402018-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/8488357/https://doaj.org/toc/2169-3536The accurate prediction of reliability for long-time running intelligent satellite power distribution systems is crucial in engineering. In this paper, an adaptive method is proposed to achieve this goal. Based on lifetime and degradation data, an estimator of the reliability for the system is derived by mainly using an additive degradation model of combined Poisson and Gaussian processes. A locally c-optimal approach to choosing effective data from the real-time data flow is given. Associated with the sequence of observed lifetime and degradation data, a robust criterion is proposed to determine an appropriate data subset for reliability prediction. A simulation study shows that the proposed method gives superior performance over the traditional method. Benefiting from adaptive and optimal strategies, the reliability predictions for 16 to 20 years obtained from the proposed method are convincing even if the initial models fitted by the ground test data have deviations from the true models.Jun WangYubin TianIEEEarticleSatelliteintelligent power distribution systemreliability predictionadaptive estimationrecursive maximum likelihoodElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 6, Pp 58719-58727 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Satellite intelligent power distribution system reliability prediction adaptive estimation recursive maximum likelihood Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Satellite intelligent power distribution system reliability prediction adaptive estimation recursive maximum likelihood Electrical engineering. Electronics. Nuclear engineering TK1-9971 Jun Wang Yubin Tian An Adaptive Reliability Prediction Method for the Intelligent Satellite Power Distribution System
description	The accurate prediction of reliability for long-time running intelligent satellite power distribution systems is crucial in engineering. In this paper, an adaptive method is proposed to achieve this goal. Based on lifetime and degradation data, an estimator of the reliability for the system is derived by mainly using an additive degradation model of combined Poisson and Gaussian processes. A locally c-optimal approach to choosing effective data from the real-time data flow is given. Associated with the sequence of observed lifetime and degradation data, a robust criterion is proposed to determine an appropriate data subset for reliability prediction. A simulation study shows that the proposed method gives superior performance over the traditional method. Benefiting from adaptive and optimal strategies, the reliability predictions for 16 to 20 years obtained from the proposed method are convincing even if the initial models fitted by the ground test data have deviations from the true models.
format	article
author	Jun Wang Yubin Tian
author_facet	Jun Wang Yubin Tian
author_sort	Jun Wang
title	An Adaptive Reliability Prediction Method for the Intelligent Satellite Power Distribution System
title_short	An Adaptive Reliability Prediction Method for the Intelligent Satellite Power Distribution System
title_full	An Adaptive Reliability Prediction Method for the Intelligent Satellite Power Distribution System
title_fullStr	An Adaptive Reliability Prediction Method for the Intelligent Satellite Power Distribution System
title_full_unstemmed	An Adaptive Reliability Prediction Method for the Intelligent Satellite Power Distribution System
title_sort	adaptive reliability prediction method for the intelligent satellite power distribution system
publisher	IEEE
publishDate	2018
url	https://doaj.org/article/b35ea42edaaa464a833bde065b8b9040
work_keys_str_mv	AT junwang anadaptivereliabilitypredictionmethodfortheintelligentsatellitepowerdistributionsystem AT yubintian anadaptivereliabilitypredictionmethodfortheintelligentsatellitepowerdistributionsystem AT junwang adaptivereliabilitypredictionmethodfortheintelligentsatellitepowerdistributionsystem AT yubintian adaptivereliabilitypredictionmethodfortheintelligentsatellitepowerdistributionsystem
_version_	1718420688259252224

An Adaptive Reliability Prediction Method for the Intelligent Satellite Power Distribution System

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