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Abbas Barabadi
Researcher at University of Tromsø
Publications - 84
Citations - 930
Abbas Barabadi is an academic researcher from University of Tromsø. The author has contributed to research in topics: Reliability (statistics) & Maintainability. The author has an hindex of 15, co-authored 78 publications receiving 728 citations. Previous affiliations of Abbas Barabadi include University of Stavanger & Luleå University of Technology.
Papers
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Maintainability analysis considering time-dependent and time-independent covariates
TL;DR: The Cox regression model and its extension in the presence of time-dependent covariates for determining maintainability is developed and a simple case study is used to demonstrate how the model can be applied in a real case.
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Application of reliability models with covariates in spare part prediction and optimization – A case study
TL;DR: The aim of this paper is to demonstrate the application of the available reliability models with covariates in the field of spare part predictions by means of a case study.
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Reliability Modelling of Multiple Repairable Units
Amir Soleimani Garmabaki,Amir Soleimani Garmabaki,Alireza Ahmadi,Yasser Ahmed Mahmood,Abbas Barabadi +4 more
TL;DR: A model selection framework for analysing the failure data of multiple repairable units when they are working in different operational and environmental conditions is proposed.
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Bioremediation treatment of hydrocarbon-contaminated Arctic soils: influencing parameters.
TL;DR: The aim of this paper is to review the bioremediation techniques and strategies using microorganisms for treatment of hydrocarbon-contaminated Arctic soils, takes account of Arctic operational conditions and discusses the factors influencing the performance of a biOREmediation treatment plan.
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RAMS data collection under Arctic conditions
TL;DR: The aim of this paper is to discuss the challenges of the available methods of data collection and suggest a methodology for data collection considering the effect of environmental conditions and make the historical RAMS data of a system more applicable and useful for the design and operation of the system in different types of operational environments.