A data-driven reliability estimation approach for phased-mission systems
type: Item
instance of: scholarly article
title: A data-driven reliability estimation approach for phased-mission systems
zbMATH Open document ID: 1407.62352
DOI: 10.1155/2014/283740
author: Xianqiang Yang
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: We attempt to address the issues associated with reliability estimation for phased-mission systems (PMS) and present a novel data-driven approach to achieve reliability estimation for PMS using the condition monitoring information and degradation data of such system under dynamic operating scenario. In this sense, this paper differs from the existing methods only considering the static scenario without using the real-time information, which aims to estimate the reliability for a population but not for an individual. In the presented approach, to establish a linkage between the historical data and real-time information of the individual PMS, we adopt a stochastic filtering model to model the phase duration and obtain the updated estimation of the mission time by Bayesian law at each phase. At the meanwhile, the lifetime of PMS is estimated from degradation data, which are modeled by an adaptive Brownian motion. As such, the mission reliability can be real time obtained through the estimated distribution of the mission time in conjunction with the estimated lifetime distribution. We demonstrate the usefulness of the developed approach via a numerical example.
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62N05
zbMATH DE Number: 7016069
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/283740
OpenAlex ID: W2008126809
Wikidata QID: Q59065416
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description: scientific article; zbMATH DE number 7016069