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
Optimizing block-based maintenance under random machine usage
Bram de Jonge,Edgars Jakobsons +1 more
TL;DR: This paper proposes to govern the random machine usage by a Markov switching (on–off), and presents a method to determine the optimal maintenance interval.
Journal ArticleDOI
Robust design with imprecise random variables and its application in hydrokinetic turbine optimization
TL;DR: In this paper, a robust robust design methodology was developed to accommodate the mixture of both precise and imprecise random variables in the robust design optimization of a hydrokinetic turbine system.
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An Ameliorated Improvement Factor Model for Imperfect Maintenance and Its Goodness of Fit
Mimi Zhang,Min Xie +1 more
TL;DR: This work develops an imperfect-maintenance model by taking a physically meaningful approach, and promotes a bootstrapping approach to approximating the distribution of a test statistic via simulated data.
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A study of the development of a condition-based maintenance system for an LNG FPSO
TL;DR: This study introduces a case study on the development of a CBM system (CBMS) for an oil and gas offshore plant, i.e. liquefied natural gas floating production storage and offloading vessel (LNG FPSO).
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Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools
TL;DR: This paper introduces a method called Interpretable Anomaly Prediction (IAP), allowing to handle these issues by using regularized logistic regression as core prediction model, and is able to predict the probability that future data will be abnormal.
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.