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Authors: Nicolas Roche-Carrier 1 ; Guyh Ngoma 1 ; Yasar Kocaefe 2 and Fouad Erchiqui 1

Affiliations: 1 School of Engineering, University of Quebec in Abitibi-Témiscamingue, 445 Boulevard de l’Université, Rouyn-Noranda and Canada ; 2 Department of Applied Sciences, University of Quebec in Chicoutimi, 555 Boulevard de l’Université, Chicoutimi and Canada

ISBN: 978-989-758-381-0

Keyword(s): Reliability, Modelization, Branching Poisson Process (BPP), Non-homogeneous Poisson Process (NHPP).

Related Ontology Subjects/Areas/Topics: Application Domains ; Case Studies ; Formal Methods ; Health Engineering and Technology Applications ; Hydraulic and Pneumatic Systems ; Industrial Processes ; Mathematical Simulation ; Neural Rehabilitation ; Neurotechnology, Electronics and Informatics ; Non-Linear Systems ; Performance Analysis ; Simulation and Modeling ; Simulation Tools and Platforms

Abstract: In a series of mechanical system maintenance it is possible to observe failures, sometimes intermittent, which cause series of unsuccessful repair attempts before the correct fault is detected and the repair is effective. Unsuccessful repairs performed for the same failure are not negligible and must be taken into account for the reliability analysis. To solve this type of problem, the model proposed is the branching Poisson process (BPP). This process is the representation of a primary failure that triggers one or more subsidiary failures. A summary and an adaptation for the resolution of the branching Poisson with failures time of repairable mechanical system were highlighted including some clarification regarding the steps of resolution implemented.

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Paper citation in several formats:
Roche-Carrier, N.; Ngoma, G.; Kocaefe, Y. and Erchiqui, F. (2019). Branching Poisson Process Modelling for Reliability Analysis of Repairable Mechanical System.In Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-381-0, pages 202-208. DOI: 10.5220/0007772302020208

@conference{simultech19,
author={Nicolas La Roche{-}Carrier. and Guyh Dituba Ngoma. and Yasar Kocaefe. and Fouad Erchiqui.},
title={Branching Poisson Process Modelling for Reliability Analysis of Repairable Mechanical System},
booktitle={Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2019},
pages={202-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007772302020208},
isbn={978-989-758-381-0},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Branching Poisson Process Modelling for Reliability Analysis of Repairable Mechanical System
SN - 978-989-758-381-0
AU - Roche-Carrier, N.
AU - Ngoma, G.
AU - Kocaefe, Y.
AU - Erchiqui, F.
PY - 2019
SP - 202
EP - 208
DO - 10.5220/0007772302020208

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