摘要
The objective of this paper is to evaluate the reliability of a system in its different states (absence of failures, partial failure and total failure) and to propose actions to improve this reliability by an approach based on Monte Carlo simulation. It consists of a probabilistic evaluation based on Markov Chains. In order to achieve this goal, the functionalities of Markov Chains and Monte Carlo simulation steps are deployed. The application is made on a production system. .
The objective of this paper is to evaluate the reliability of a system in its different states (absence of failures, partial failure and total failure) and to propose actions to improve this reliability by an approach based on Monte Carlo simulation. It consists of a probabilistic evaluation based on Markov Chains. In order to achieve this goal, the functionalities of Markov Chains and Monte Carlo simulation steps are deployed. The application is made on a production system. .
作者
Aslain Brisco Ngnassi Djami
Jean Bosco Samon
Boukar Ousman
Ulrich Ngnassi Nguelcheu
Wolfgang Nzié
Guy Edgar Ntamack
Bienvenu Kenmeugne
Aslain Brisco Ngnassi Djami;Jean Bosco Samon;Boukar Ousman;Ulrich Ngnassi Nguelcheu;Wolfgang Nzié;Guy Edgar Ntamack;Bienvenu Kenmeugne(Department of Fundamental Sciences and Techniques of Engineer, Chemical Engineering and Mineral Industries School, University of Ngaoundere, Ngaoundere, Cameroon;Department of Mechanical Engineering, National School of Agro-Industrial Sciences, University of Ngaoundere, Ngaoundere, Cameroon;Department of Electrical Engineering, Energy and Automation, National School of Agro-Industrial Sciences, University of Ngaoundere, Ngaoundere, Cameroon;Department of Physics, Faculty of Science, University of Ngaoundere, Ngaoundere, Cameroon;Department of Industrial and Mechanical Engineering, National Advanced School of Engineering, University of Yaounde I, Yaounde, Cameroon)
