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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.
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.

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Citations
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Journal ArticleDOI

Enabling condition based maintenance in a precious metal processing plant

TL;DR: Results show that sensors and thresholds based on process capability index can be used in predictive maintenance to alert maintenance teams to attend to vacuum pumps and fans pre-failure and hence improve plant availability and operation and reduces cost.
Book ChapterDOI

Application of Process Mining in Industrial Maintenance: An Approach for the Analysis of Equipment Shutdown

TL;DR: It was verified that the structure, despite meeting the expectation, needs to be restructured in such a way that the inserted data are registered according to the analysis structure of the process mining tools.
Journal ArticleDOI

A Systemic Risk Management Model to Manage the Equipment Maintenance System in Oil and Gas Companies

Hany Khalil, +1 more
Abstract: The risk management is significant when managing the equipment maintenance system (EMS) which is very important to maintain equipment operations and is fundamental for achieving business objectives. With the advent of risk-based thinking in industry, there was a need for introducing the risk culture within the organization, including maintenance, in order to reduce business losses. Analysis of equipment failures data showed a relation between the failures types with their consequences, and all interaction with system maintenance components. The ineffective maintenance system may cause multiple losses for the organization and therefore affects the whole business. This paper introduces a systemic risk management model to manage the maintenance system undesired events and control the impact on the organization and the consequences on business. Using systemic risk management model, the maintenance professional can manage the whole maintenance system through risk analysis, assessment, and management by creating the different risk scenarios to develop proper types of control.
Dissertation

A Stochastic Approach to Measurement-Driven Damage Detection And Prognosis in Structural Health Monitoring

Guru Prakash
TL;DR: The task of change point location identification is thought of as being synonymous with damage or fault detection in the context of structural health monitoring, and the change point results are used for two-phase degradation modeling, future degradation level prediction and subsequent RUL estimation.
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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