A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning

A new residual life prediction method for complex systems based on Wiener process and evidential reasoning is proposed to predict the residual life of complex systems effectively. Moreover, the better maintenance strategies and decision supports are provided. For the residual life prediction of comp...

Full description

Saved in:
Bibliographic Details
Main Authors: Xin Zhang, Shuaiwen Tang, Taoyuan Liu, Bangcheng Zhang
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2018/9473526
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832558863159656448
author Xin Zhang
Shuaiwen Tang
Taoyuan Liu
Bangcheng Zhang
author_facet Xin Zhang
Shuaiwen Tang
Taoyuan Liu
Bangcheng Zhang
author_sort Xin Zhang
collection DOAJ
description A new residual life prediction method for complex systems based on Wiener process and evidential reasoning is proposed to predict the residual life of complex systems effectively. Moreover, the better maintenance strategies and decision supports are provided. For the residual life prediction of complex systems, the maximum likelihood method is adopted to estimate the drift coefficient, and the Bayesian method is adopted to update the parameters of Wiener process. The process of parameters estimation and the probability density function (PDF) of the residual life are deduced. To improve the accuracy of the residual life prediction results, the evidential reasoning (ER) is used to integrate the prediction results of Wiener process. Finally, a case study of gyroscope is examined to illustrate the feasibility and effectiveness of the proposed method, compared with fuzzy theory, which provides an important reference for the optimization of the reliability of complex systems and improvement.
format Article
id doaj-art-62a74d346e3c4055becc82dfd2368f36
institution Kabale University
issn 1687-5249
1687-5257
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Journal of Control Science and Engineering
spelling doaj-art-62a74d346e3c4055becc82dfd2368f362025-02-03T01:31:26ZengWileyJournal of Control Science and Engineering1687-52491687-52572018-01-01201810.1155/2018/94735269473526A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential ReasoningXin Zhang0Shuaiwen Tang1Taoyuan Liu2Bangcheng Zhang3Rocket Force University of Engineering, Xi’an 710000, ChinaRocket Force University of Engineering, Xi’an 710000, ChinaRocket Force University of Engineering, Xi’an 710000, ChinaSchool of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, ChinaA new residual life prediction method for complex systems based on Wiener process and evidential reasoning is proposed to predict the residual life of complex systems effectively. Moreover, the better maintenance strategies and decision supports are provided. For the residual life prediction of complex systems, the maximum likelihood method is adopted to estimate the drift coefficient, and the Bayesian method is adopted to update the parameters of Wiener process. The process of parameters estimation and the probability density function (PDF) of the residual life are deduced. To improve the accuracy of the residual life prediction results, the evidential reasoning (ER) is used to integrate the prediction results of Wiener process. Finally, a case study of gyroscope is examined to illustrate the feasibility and effectiveness of the proposed method, compared with fuzzy theory, which provides an important reference for the optimization of the reliability of complex systems and improvement.http://dx.doi.org/10.1155/2018/9473526
spellingShingle Xin Zhang
Shuaiwen Tang
Taoyuan Liu
Bangcheng Zhang
A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning
Journal of Control Science and Engineering
title A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning
title_full A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning
title_fullStr A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning
title_full_unstemmed A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning
title_short A New Residual Life Prediction Method for Complex Systems Based on Wiener Process and Evidential Reasoning
title_sort new residual life prediction method for complex systems based on wiener process and evidential reasoning
url http://dx.doi.org/10.1155/2018/9473526
work_keys_str_mv AT xinzhang anewresiduallifepredictionmethodforcomplexsystemsbasedonwienerprocessandevidentialreasoning
AT shuaiwentang anewresiduallifepredictionmethodforcomplexsystemsbasedonwienerprocessandevidentialreasoning
AT taoyuanliu anewresiduallifepredictionmethodforcomplexsystemsbasedonwienerprocessandevidentialreasoning
AT bangchengzhang anewresiduallifepredictionmethodforcomplexsystemsbasedonwienerprocessandevidentialreasoning
AT xinzhang newresiduallifepredictionmethodforcomplexsystemsbasedonwienerprocessandevidentialreasoning
AT shuaiwentang newresiduallifepredictionmethodforcomplexsystemsbasedonwienerprocessandevidentialreasoning
AT taoyuanliu newresiduallifepredictionmethodforcomplexsystemsbasedonwienerprocessandevidentialreasoning
AT bangchengzhang newresiduallifepredictionmethodforcomplexsystemsbasedonwienerprocessandevidentialreasoning