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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.
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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.

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Citations
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Journal ArticleDOI

Development of condition-based maintenance strategy for fault diagnosis for ship engine systems

TL;DR: In this paper , a condition-based maintenance strategy is proposed for a large-sized container ship, based on an Artificial Neural Network (ANN) to analyze the performance of the engine.
Journal ArticleDOI

A hybrid analytical-simulation approach for maintenance optimization of deteriorating equipment: Case study of wind turbines

TL;DR: In this article, the authors proposed a hybrid analytical-simulation approach toward solving a maintenance optimization problem with actual system limitations, which can assist the asset managers in including their own restrictions through sensitivity analysis and performing a cost/benefit analysis to determine, for example, how many technicians are required for a fleet of equipment, such as a wind farm.
Journal ArticleDOI

Using a fuzzy logic approach for the predictive maintenance of textile machines

TL;DR: F fuzzy logic was proposed for planning the predictive maintenance activities of the textile machines and its effectiveness was illustrated for the planning of the predictive Maintenance of a sewing machine needle.
Journal ArticleDOI

Asset maintenance optimisation approaches in the chemical and process industries - A review.

TL;DR: A critical analysis of the recently developed approaches for asset maintenance approaches in the chemical industry, which include corrective maintenance, time- based, risk-based, condition-based and opportunistic maintenance, evaluates reliability issues in chemical plants and integrated sites encompassing the maintenance optimisation.
Book ChapterDOI

Sustainable Maintenance Strategy Under Uncertainty in the Lifetime Distribution of Deteriorating Assets

TL;DR: In this paper, a decision-theoretic sensitivity analysis for a maintenance optimisation problem for systems/structures/assets subject to measurable deterioration using the Partial Expected Value of Perfect Information (PEVPI) concept is presented.
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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
Journal ArticleDOI

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.
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