MARATTO

article · Open Journal of Applied Sciences

Evaluation of the Reliability of a System: Approach by Monte Carlo Simulation and Application

20241 citationOpen accessUniversité de Yaoundé I

Abstract

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.

Research topics

  • Probabilistic and Robust Engineering Design
  • Power System Reliability and Maintenance
  • Reliability and Maintenance Optimization

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.4236/ojapps.2024.143051

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.