Analyzing Reliability of CGS Station by Continuous Time Markov Chains (CTMC)

Document Type : Original Research Article

Authors

1 Department of Occupational Health Engineering, Faculty of Health, Tehran University of Medical Sciences, Tehran, Iran

2 Department of Safety Science, College of Aviation, Embry-Riddle Aeronautical University, Prescott, AZ, 86301, USA

3 Robertson Safety Institute (RSI), Embry-Riddle Aeronautical University, Prescott, AZ, 86301, USA

10.30699/IJRRS.4.2.10

Abstract

    Improving the system's reliability is one way to achieve a secure system. City Gas Station (CGS) has a key role in the timely and safe supply of Natural gas (NG) to residential, commercial, and industrial customers. With complexities inherent in systems, having a proper and all-embracing model of the entirety of a system is not readily possible. The continuous-time Markov chain (CTMC) model is regarded as a great help in communicating, comparing, and integrating partial system models. In this study, we have exploited CTMC for reliability analysis in CGS stations. The CTMC model can solve both time-dependent and stationary state probabilities. Therefore, it can potentially develop the state enumeration method into a sequential one. Implementing this procedure leads to identifying critical components and failure probability, eventually enhancing the station's reliability. Additionally, some suggestions are presented for optimizing the performance of the station.

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Volume 4, Issue 2
December 2021
Pages 91-96
  • Receive Date: 29 June 2022
  • Revise Date: 05 September 2022
  • Accept Date: 05 September 2022
  • First Publish Date: 05 September 2022