Journal ArticleDOI
An overview of time-based and condition-based maintenance in industrial application
TLDR
It can be concluded that the application of the CBM technique is more realistic, and thus more worthwhile to apply, than the TBM one, however, further research on CBM must be carried out in order to make it more realistic for making maintenance decisions.About:
This article is published in Computers & Industrial Engineering.The article was published on 2012-08-01. It has received 729 citations till now. The article focuses on the topics: Condition-based maintenance & Predictive maintenance.read more
Citations
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Journal ArticleDOI
Towards Autonomous Control in Maintenance and Spare Part Logistics – Challenges and Opportunities for Preacting Maintenance Concepts
Marco Lewandowski,Stephan Oelker +1 more
TL;DR: In this article, an adjusted preactive maintenance concept is proposed, which implements autonomous control aspects in order to plan and control personnel, equipment, resources, etc. In doing so, different well known strategies are kept equitable within the concept but are replenished with an overall heterachical organized planning and controlling approach.
Journal ArticleDOI
Condition-based maintenance strategy for redundant systems with arbitrary structures using improved reinforcement learning
TL;DR: In this paper , the optimal condition-based maintenance (CBM) strategy for redundant systems with arbitrary system structures using improved reinforcement learning, considering failure and economic dependences, is investigated.
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Optimal maintenance decisions for deteriorating quoin blocks in miter gates subject to uncertainty in the condition rating protocol
TL;DR: A new Bayesian approach to estimate the ratio of errors in the OCA ratings is presented, which allows for improved accuracy in OCA rating-based prognosis.
Journal ArticleDOI
Use Case Development to Advance Monitoring, Diagnostics, and Prognostics in Manufacturing Operations
TL;DR: In this article, the National Institute of Standards and Technology (NIST) developed a use case that is representative of common manufacturing operations to support the assessment of PHM technologies, including its three constituent research areas: Manufacturing Process and Equipment Monitoring Machine Tool Linear Axes Diagnostics and Prognostics, and Health and Control Management of Robot Systems.
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Condition-based maintenance for multi-component systems: Modeling, structural properties, and algorithms
Zhicheng Zhu,Yisha Xiang +1 more
TL;DR: A multi-stage stochastic integer model with the objective of minimizing the total maintenance cost over a finite planning horizon is developed and the structural properties of a two-stage model are investigated.
References
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Journal ArticleDOI
A review on machinery diagnostics and prognostics implementing condition-based maintenance
TL;DR: This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing CBM with emphasis on models, algorithms and technologies for data processing and maintenance decision-making.
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Remaining useful life estimation - A review on the statistical data driven approaches
TL;DR: This paper systematically reviews the recent modeling developments for estimating the RUL and focuses on statistical data driven approaches which rely only on available past observed data and statistical models.
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Optimum Preventive Maintenance Policies
TL;DR: In this paper, two types of preventive maintenance policies are considered, and the optimum policies are determined, in each case, as unique solutions of certain integral equations depending on the failure distribution.
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Condition monitoring and fault detection of wind turbines and related algorithms: A review
TL;DR: In this article, the authors reviewed different techniques, methodologies and algorithms developed to monitor the performance of wind turbine as well as for an early fault detection to keep away the wind turbines from catastrophic conditions due to sudden breakdowns.
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Applications of maintenance optimization models : a review and analysis
TL;DR: An overview of applications of maintenance optimization models published so far and the role of these models in maintenance is analyzed and the factors which may have hampered applications are discussed.