Degradation data-driven remaining useful life estimation in the absence of prior degradation knowledge
type: Item
instance of: scholarly article
title: Degradation data-driven remaining useful life estimation in the absence of prior degradation knowledge
zbMATH Open document ID: 1398.62275
DOI: 10.1155/2017/4375690
author: Yong Yu
author: Changhua Hu
author: Xiao-Sheng Si
author: Jianxun Zhang
published in: Journal of Control Science and Engineering
publication date: 2018-10-15T00:00:00Z
review text: Summary: Recent developments in prognostic and health management have been targeted at utilizing the observed degradation signals to estimate residual life distributions. Current degradation models mainly focus on a population of ``identical'' devices or an individual device with population information, not a single component in the absence of prior degradation knowledge. However, the fast development of science and technology provides us with many kinds of new systems, and we just have the real-time monitoring information to analyze the reliability for them. The fusion algorithm presented herein addresses this challenge by combining the excellent modeling ability of Bayesian updating method for the multilevel data and the prominent estimation ability of ECM algorithm for incomplete data. Residual life distributions and posterior distributions are first calculated through the Bayesian updating method based on random initial a priori distributions. Then the a priori distributions are revised and improved for future predictions by the ECM algorithm. Once a new signal is observed, we can reuse the fusion algorithm to improve the accuracy of residual life distributions. The applicability of this fusion algorithm is validated by a set of simulation experiments.
Mathematics Subject Classification ID: 62N05
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6954256
zbMATH Keywords: remaining useful life estimation
zbMATH Keywords: degradation knowledge
zbMATH Keywords: fusion algorithm
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/4375690
OpenAlex ID: W2775466977
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description: scientific article; zbMATH DE number 6954256