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
Multi-Level Decision-Making for The Predictive Maintenance of $k$ -Out-of- $n$ :F Deteriorating Systems
TL;DR: A multi-level decision-making approach is introduced that allows to more effectively avoid inopportune interventions, to better take into account the interactions among components, and hence to provide more flexible and profitable predictive maintenance strategies for multi-component systems.
Journal ArticleDOI
Condition monitoring approaches for the detection of railway wheel defects
TL;DR: The existing data acquisition techniques for the monitoring of railway wheel condition are reviewed, and the state-of-the-art methods and required research are discussed.
Journal ArticleDOI
Real-time prediction of remaining useful life and preventive opportunistic maintenance strategy for multi-component systems considering stochastic dependence
Hui Shi,Jianchao Zeng +1 more
TL;DR: A dynamic opportunistic condition-based maintenance strategy for multi-component systems that maximizes production efficiency on the premise of ensuring system reliability, and reduces the system operation and maintenance costs is presented.
Journal ArticleDOI
Machine health management in smart factory: A review
Gil-Yong Lee,Mincheol Kim,Ying-Jun Quan,Min-Sik Kim,Thomas J. Y. Kim,Hae-Sung Yoon,Sangkee Min,Dong-Hyeon Kim,Jeong-Wook Mun,Jin Woo Oh,In-Gyu Choi,Chung-Soo Kim,Won-Shik Chu,Jinkyu Yang,Binayak Bhandari,Choon-Man Lee,Jeong-Beom Ihn,Sung-Hoon Ahn +17 more
TL;DR: The implementations of machine health managements within the smart factory are discussed in terms of data connectivity, communications, Cyber-physical system (CPS) and virtual factory, relating them to Internet of things (IoT), cloud computing, and big data management.
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An HMM and polynomial regression based approach for remaining useful life and health state estimation of cutting tools
TL;DR: A novel approach for health state estimation to facilitate autonomous diagnostics is presented and a model based sequential clustering on time series sensor signals for estimating health states of a cutting tool 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.
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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.