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
A review on condition-based maintenance optimization models for stochastically deteriorating system
Suzan Alaswad,Yisha Xiang +1 more
TL;DR: A review of CBM literature with emphasis on mathematical modeling and optimization approaches, and classifies the literature on CBM models based on the underlying deterioration processes, namely discrete- and continuous-state deterioration, and proportional hazard model.
Journal ArticleDOI
Wind Turbine Condition Monitoring: State-of-the-Art Review, New Trends, and Future Challenges
Pierre Tchakoua,Rene Wamkeue,Mohand Ouhrouche,Fouad Slaoui-Hasnaoui,Tommy Andy Tameghe,Gabriel Ekemb +5 more
TL;DR: In this article, a general review and classification of wind turbine condition monitoring methods and techniques with a focus on trends and future challenges is provided, and interesting insights from this research are used to point out strengths and weaknesses in today's WTCM industry and define research priorities needed for the industry to meet the challenges in wind industry technological evolution and market growth.
Journal ArticleDOI
Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review
TL;DR: In this paper, a systematic review of recently developed engine performance monitoring, diagnostic and prognostic techniques is presented, which provides experts, students or novice researchers and decision-makers working in the area of gas turbine engines with the state of the art for performance-based condition monitoring.
Journal ArticleDOI
Prognostics and Health Management: A Review on Data Driven Approaches
TL;DR: This paper provides a concise review of mainstream methods in major aspects of the PHM framework, including the updated research from both statistical science and engineering, with a focus on data-driven approaches.
Mechanical systems and signal processing
TL;DR: Vehicle system dynamics integration encompasses interdisciplinary challenges innovations in various aspects related to vehicle system/subsystems/components dynamic characteristics, modeling and validation, vehicle dynamics state measurement and estimation, vehicle/chassis control systems, coordination of power management and dynamics/stability control, etc.
References
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Journal ArticleDOI
An introduction to the studies of reliability of systems using the Weibull proportional hazards model
TL;DR: In this paper, the authors present the way of solving problems concerning reliability with respect to concomitant variables and the Cox models are discussed and Weibull's proportional hazards model is defined.
Proceedings ArticleDOI
Practical application of PHM/prognostics to COTS power converters
TL;DR: In this paper, an easily-adopted method of adding prognostics/health management (PHM) to electronic systems is described, which can be used for early warning of an impending failure.
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Early defect identification: application of statistical process control methods
Wenbin Wang,Wenjuan Zhang +1 more
TL;DR: In this paper, the authors used statistical process control and an auto-regression model to model the identification of the initiation point of a random defect in a rolling element ball bearing.
Journal ArticleDOI
The series–parallel replacement problem
Joseph C. Hartman,J. Ban +1 more
TL;DR: In this article, an integer programming formulation is presented to determine optimal purchase, salvage, utilization, and storage decisions for each asset over a finite horizon, and valid inequalities to improve the lower bound provided by the linear programming relaxation and a dynamic programming approach to provide initial upper bounds.
Journal ArticleDOI
Feature‐based fault diagnosis system of induction motors using vibration signal
TL;DR: One fault diagnosis system is proposed for induction motors based on feature recognition through combination of feature extraction, genetic algorithm and neural network techniques and improves the system performance through selecting significant features and optimizing network structure.