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
Gearbox Fault Detection Using Real Coded Genetic Algorithm and Novel Shock Response Spectrum Features Extraction
Sajid Hussain,Hossam A. Gabbar +1 more
TL;DR: In this paper, an intelligent fault detection method for gearbox using band-pass and wavelet filtering with real coded genetic algorithm (RCGA) and shock response spectrum (SRS) for features extraction is presented.
Book ChapterDOI
Application of artificial neural networks in predicting the degradation of tram tracks using maintenance data
TL;DR: In this paper, the authors explore the factors influencing the degradation of light rail tracks (light rail tracks) using existing geometric data, inspection data, load data, and repair data.
Journal ArticleDOI
Planning and Control of Maintenance Systems: Modeling and Analysis
TL;DR: The author states that the prerequisites for this book are "familiarity with the concepts of process stability, basic statistical process control (SPC), and measurement analysis."
Maintenance optimization for railway infrastructure networks
TL;DR: A compact formulation for a variant of the multiple Traveling Salesman Problem (TSP), that can be applied to optimal scheduling of maintenance crews for a railway network, and a systematic numerical solution method for reverse Stackelberg game with incomplete information are 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.
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.