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
On the use of machine learning methods to predict component reliability from data-driven industrial case studies
TL;DR: This paper uses a supervised machine learning approach to predict the component reliability in 19 industrial components obtained from real industries, and shows how machine learning models obtain better prediction results with respect to traditional methods when increasing the size of the time-to-failure datasets.
Journal ArticleDOI
Condition-based maintenance of naval propulsion systems: data analysis with minimal feedback
TL;DR: This analysis considers a scenario where the collection of vast amounts of labelled data containing the decay state of the components is unfeasible, and proposes several Data Analysis supervised and unsupervised techniques for the Condition-Based Maintenance of a vessel, characterised by a combined diesel-electric and gas propulsion plant.
Journal ArticleDOI
Risk-based maintenance of offshore managed pressure drilling (MPD) operation
TL;DR: In this article, Bayesian Networks (BNs) are employed to develop the dynamic risk-based maintenance (RBM) models that are capable of using accident precursor information in order to update the risk profile.
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Condition-based maintenance for multi-component systems using importance measure and predictive information
TL;DR: In this paper, a predictive condition-based maintenance strategy for multi-component systems whose structure may impact components deterioration process is presented, where a decision rule relying on both structural importance measure of components and their predictive reliability that can be estimated at inspection times is proposed.
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A mixed-integer linear programming model for integrated production and preventive maintenance scheduling in the capital goods industry
TL;DR: A novel mixed integer linear programming model for simultaneously solving the integrated production and preventive maintenance scheduling problem in the capital goods industry, which was tested using data from a collaborating company and found that the company’s total cost could be reduced by up to 63.5%.
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.