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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Proceedings ArticleDOI
On multi-state system with interval-valued states under preventive maintenance and minimal repairs
TL;DR: In this article, the reliability and availability of multi-state degraded systems with the system states represented as interval-valued numbers are investigated, where the status of the system is considered to degrade with use and the case of imperfect preventive maintenance and minimal repairs is considered.
Journal ArticleDOI
A mixed-integer programming model for an integrated production planning problem with preventive maintenance in the pulp and paper industry
TL;DR: In this paper , an efficient mixed-integer formulation is proposed that optimizes when, where and how much to produce of different wood species and schedules preventive maintenance to minimize the total setup times.
Journal ArticleDOI
Failure mode classification for condition-based maintenance in a bearing ring grinding machine
TL;DR: In this paper , the authors present a practical approach for failure mode prediction using multiple sensors installed in a bearing ring grinder for process control as well as condition monitoring, where the presence of failure mode is predicted in the first step and the failure mode type is identified in the second step using the same feature set.
Journal ArticleDOI
Structured maintenance engineering policy development based on a production machine process perspective
TL;DR: In this paper, a maintenance decision support (MDS) model is proposed for the pulp manufacturing industry, which consists of three steps: initial setup, deterioration monitoring, and decision making.
Journal ArticleDOI
Bayesian maintenance decision optimisation based on computing the information value from condition inspections
TL;DR: The proposed approach overcomes the limitation of CBM strategy and highlights the importance of VoI computation (to confirm VoI > 0) before adopting inspections and CBM.
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.