RELIABILITY ANALYSIS OF ACTIVE REDUNDANT SYSTEM USING GEOMETRIC DISTRIBUTION

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Published: Oct 31, 2022
DOI: https://doi.org/10.22452/mjs.vol41no3.7
Keywords:
Reliability of systems, stochastic modeling, steady-state probability distribution, redundancy techniques, geometric distribution.

Main Article Content

Pankaj
Chitkara University Institute of Engineering and Technology, Punjab, 140401, INDIA.
Jasdev Bhatti
Chitkara University Institute of Engineering and Technology, Punjab, 140401, INDIA.
Mohit Kumar kakkar
Chitkara University Institute of Engineering and Technology, Punjab, 140401, INDIA.

Abstract

The present paper is an initiative taken towards study and analysis of industries concerning different maintenance strategies towards their products on behalf of their working and maintenance level. The objective of presenting the concept of the dual nature of repair for units having extra or major failures in addition to regular ones is well explained. The stochastic analysis of reliability characteristics using regenerative techniques for the system consisting of two parallel units following the active-standby redundancy and having different repair time distributions was also studied using geometric distribution. The numerical equations and results are being evaluated for reliability parameters like mean time to system failure, availability of the system in operative form, down period of the system following repair mechanism using regenerative techniques, and geometric distribution. The graphical analysis has also been presented for-profit function with respect to repair and failure rate.

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How to Cite
Pankaj, Bhatti, J., & Mohit Kumar kakkar. (2022). RELIABILITY ANALYSIS OF ACTIVE REDUNDANT SYSTEM USING GEOMETRIC DISTRIBUTION. Malaysian Journal of Science, 41(3), 49–57. https://doi.org/10.22452/mjs.vol41no3.7
Issue
Vol 41 No 3 (2022): October
Section
Original Articles

Licensee MJS, Universiti Malaya, Malaysia. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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