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
An optimal dynamic interval preventive maintenance scheduling for series systems
TL;DR: A novel framework for solving the non-periodical PM schedule with dynamic interval based on the multi-objective genetic algorithm is proposed and the strategies include updating strategy, deleting strategy, inserting strategy and moving strategy, set to correct the invalid population individuals of the algorithm.
Journal ArticleDOI
Multi-objective evolutionary simulation based optimization mechanism for a novel stochastic reliability centered maintenance problem
TL;DR: Four multi-objective simulation based optimization algorithms, called multi-Objective biogeography based optimization (MOBBO) algorithm, Pareto envelope-based selection algorithm (PESA), new version of non-dominated sorting genetic algorithm (NSGAIII) and multi- Objectives based on decomposition (MOEAD) are employed to solve the underlying problem.
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Condition Monitoring with Prediction Based on Diesel Engine Oil Analysis: A Case Study for Urban Buses
TL;DR: In this article, a case study and a model to predict maintenance interventions based on condition monitoring of diesel engine oil in urban buses by accompanying the evolution of its degradation is presented, in order to predict the next intervention with the maximum time between them, which means the maximum availability.
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A data-driven two-stage maintenance framework for degradation prediction in semiconductor manufacturing industries
TL;DR: The effectiveness of the proposed two-stage maintenance framework is testified with extensive computation and experimental studies on an industrial case of the wafer fabrication plant in semiconductor manufactories, achieving up to 74.1% in testing accuracies for equipment degradation prediction.
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Which is better for replacement policies with continuous or discrete scheduled times
TL;DR: It is shown that Type I is more flexible than Type II and costs less than Type III, however, modified replacement costs are obtained for Types II and III as critical points at which their policies should be adopted.
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.