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
Data-Driven Condition Monitoring of Mining Mobile Machinery in Non-Stationary Operations Using Wireless Accelerometer Sensor Modules
TL;DR: In this paper, the authors present the development of an easy-to-deploy and smart monitoring IoT system that utilizes vibration measurement devices to assess real-time condition of bulldozers, power shovels and backhoes, in non-stationary operations in the mining industry.
Journal ArticleDOI
Joint optimal production planning and proactive maintenance policy for a system subject to degradation
Lin Wang,Zhiqiang Lu,Xiaole Han +2 more
TL;DR: In this article, a joint production planning and condition-based maintenance (CBM) model is proposed for a single-stage production system that deteriorates with usage during a specified finite planning horizon.
Journal ArticleDOI
Mini-term, a novel paradigm for fault detection
E. Garcia,N. Montes +1 more
TL;DR: For the first time, how mini-terms could replace common sensors for machine fault detection is shown and how the cycle time variability of machine parts can be used as a deterioration indicator that could describe the dynamic of the failure for the machine parts.
Journal ArticleDOI
Developing simulation based optimization mechanism for a novel stochastic reliability centered maintenance problem
TL;DR: This research investigates joint scheduling of maintenance and production planning with benefit of reliability-centered maintenance for monitoring and managing maintenance function of a stochastic complex production-planning problem namely flexible job shop scheduling problem (FJSP).
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Information management to improve the effectiveness of preventive maintenance activities with computerized maintenance management system at the intake system of circulating water pump
TL;DR: Management of information generated in CMMS’s database through an ongoing Android App (SafeUp), built on Android platform algorithm to meet the efficiency of quality performance of failed equipment at this intake system is provided.
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.