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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Delay time-based inspection and replacement optimization under Semi-Markov decision process
TL;DR: In this paper , a semi-Markov decision process is used to calculate the performance indices of a two-stage failure process, where the sojourn time in each stage follows the Erlang distribution and an order action is triggered once the accumulated deterioration reaches the pre-specified limit.
Online Condition Monitoring of Gas Circulation Fans in Hardening Process
Ali Rastegari,Andreas Archenti +1 more
TL;DR: Vibration analysis and the Shock Pulse Method (SPM) are two of the most popular condition monitoring techniques used in Condition-Based Maintenance (CBM) policy, especially for rotating equipment as discussed by the authors.
Journal ArticleDOI
Diagnosis Method of Lubrication Failure by Coolant Immersion for a CNC Lathe Spindle
TL;DR: In this article , an acceleration sensor is used to collect machine states, and statistical feature parameters that characterize the lubrication failure are extracted from the obtained vibration data, and several analyses using surface roughness measurement, residual stress measurement, and grease consistency measurement are conducted.
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Development of an advanced condition-based maintenance system for high-critical industrial fans in a foundry
TL;DR: In this article , an industrial project where an advanced condition-based maintenance (CBM) system for high-critical industrial fans is implemented in a foundry, the goal is to use already available data from the extant automation and additional vibration data to develop state detection and to identify any abnormal behaviour of the assets.
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Identification of the impact of the availability factor on the efficiency of production processes using the ahp and fuzzy ahp methods
TL;DR: In this paper , the impact of technical and non-technical factors on the material selection of machine tools for production tasks and a method of supporting the selection of production resources using the AHP and Fuzzy AHP methods was developed.
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.