D
Dragan Banjevic
Researcher at University of Toronto
Publications - 73
Citations - 6874
Dragan Banjevic is an academic researcher from University of Toronto. The author has contributed to research in topics: Condition-based maintenance & Condition monitoring. The author has an hindex of 29, co-authored 73 publications receiving 6172 citations.
Papers
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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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A Control-Limit Policy And Software For Condition-Based Maintenance Optimization
TL;DR: The analysis of a preventive replacement policy of the control-limit type for a deteriorating system subject to inspections at discrete points of time is presented, using Cox’s PHM with a Weibull baseline hazard function and time dependent stochastic covariates.
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Calculation of reliability function and remaining useful life for a Markov failure time process
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Optimal component replacement decisions using vibration monitoring and the proportional-hazards model
TL;DR: The Weibull proportional-hazards model is used to determine the optimal replacement policy for a critical item which is subject to vibration monitoring, and the policy is validated using data that arose from subsequent operation of the plant.
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Intelligent condition-based prediction of machinery reliability
Aiwina Soong Yin Heng,Andy C. C. Tan,Joseph Mathew,Neil Montgomery,Dragan Banjevic,Andrew K.S. Jardine +5 more
TL;DR: In this paper, a model consisting of a feed-forward neural network whose training targets are asset survival probabilities estimated using a variation of the Kaplan-Meier estimator and a degradation-based failure probability density function (PDF) estimator is presented.