Maintenance policy performance assessment in presence of imprecision based on Dempster–Shafer Theory of Evidence

Author:

Baraldi P.,Compare M.,Zio E.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference47 articles.

1. A fuzzy reasoning and fuzzy-analytical hierarchy process based approach to the process of railway risk information: a railway risk management system;An;Information Sciences,2011

2. A modeling framework for maintenance optimization of electrical components based on fuzzy logic and effective age;Baraldi;Quality and Reliability Engineering International,2012

3. P. Baraldi, M. Compare, G. Rossetti, A. Despujols, E. Zio, A modelling framework to assess maintenance policy performance in electrical production plants. in: Andrews, Berenguer, Jackson (Eds.), Maintenance Modelling and Applications, ESREDA-ESRA Project Group Report, 2011, pp. 263–282.

4. P. Baraldi, M. Compare, E. Zio, Representation and propagation of the uncertainty in expert information on the parameters of degradation models for maintenance policy assessment. Applied Soft Computing (Submitted for publication).

5. A comparison between probabilistic and Dempster–Shafer theory approaches to model uncertainty analysis in the performance assessment of radioactive waste repositories;Baraldi;Risk Analysis,2010

Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine overstrain prediction for early detection and effective maintenance: A machine learning algorithm comparison;Logic Journal of the IGPL;2024-05-26

2. Product optimization via preventive maintenance program: An investigation in health industry;AIP Conference Proceedings;2024

3. Step-wise segment partition based stationary subspace analysis and Gaussian mixture model for nonstationary process performance assessment;Information Sciences;2023-08

4. Joint Optimization of Production and Maintenance for Effective Manufacturing Using a Genetic Algorithm;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06

5. Maintenance optimization in industry 4.0;Reliability Engineering & System Safety;2023-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3