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
Fault diagnosis of pneumatic systems with artificial neural network algorithms
TL;DR: The ART2 and Bp performance was found excellent with the proposed encoding and synthetic data generation procedures for extremely repetitive sequential data.
Proceedings ArticleDOI
Prognostic health management for avionics system power supplies
TL;DR: In this paper, the authors present an integrated approach to switching mode power supply health management that implements techniques from engineering disciplines including statistical reliability modeling, damage accumulation models, physics of failure modeling, and sensor-based condition monitoring using automated reasoning algorithms.
Journal ArticleDOI
A Prognostics and Health Management Roadmap for Information and Electronics-Rich Systems
TL;DR: A fusion prognostics approach is presented, which combines or “fuses together” the model-based and data–driven approaches, to enable markedly better prognosis of remaining useful life.
Journal ArticleDOI
A model of imperfect preventive maintenance with dependent failure modes
TL;DR: Optimal preventive maintenance schedules are obtained for non-decreasing failure rates and numerical examples for power law models are given.