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
Trend-Based Repair Quality Assessment for Industrial Rotating Equipment
Maxwell Toothman,Birgit Braun,Scott J. Bury,Michael Dessauer,Kaytlin Henderson,Raymond A. Wright,Dawn M. Tilbury,James Moyne,Kira Barton +8 more
TL;DR: In this paper, the authors present a general modeling structure to give context to historical data, which can act as a substitute for supplemental test data, and describes a methodology for assessing repair quality based on trends in signal features.
Journal ArticleDOI
Machine fault detection methods based on machine learning algorithms: A review.
TL;DR: The different methodologies for the identification of the most common mechanical failures are examined and the most widely applied algorithms based on machine learning are analyzed: Support Vector Machine (SVM) solutions, Artificial Neural Network (ANN) algorithms, Convolutional Neural Network model, Recurrent Neural Network applications, and Deep Generative Systems.
Journal Article
A POMDP Framework to Find Optimal Inspection and Maintenance Policies via Availability and Profit Maximization for Manufacturing Systems
TL;DR: This study proposes a Partially Observable Markov Decision Process (POMDP) framework for a partially observable and stochastically deteriorating system in which inspection and maintenance optimal policies of Condition Based Maintenance must be determined to maximize the average profit and availability of the system simultaneously.
Journal ArticleDOI
Machinery Fault Diagnosis Using Two-Channel Analysis Method Based on Fictitious System Frequency Response Function
Kihong Shin,Sang-Heon Lee +1 more
TL;DR: In this article, a two-channel analysis method is proposed to overcome the difficulty of finding the ideal measurement points for bearing fault detection when ideal points for measurement sensors are not readily available.
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Joint optimization of condition-based maintenance and spare part inventory for two-component system
TL;DR: Deterioration state-space partitioning of the observed state and the spare part inventory state is developed to analyze all the possible maintenance requirements of the system and calculate the probabilities of the actual maintenance activities with the restriction of the inventory state.
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.