Efficient availability assessment of reconfigurable multi-state systems with interdependencies


George-Williams, Hindolo ORCID: 0000-0002-9316-3911 and Patelli, Edoardo ORCID: 0000-0002-5007-7247 (2017) Efficient availability assessment of reconfigurable multi-state systems with interdependencies. RELIABILITY ENGINEERING & SYSTEM SAFETY, 165 (C). pp. 431-444.

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Abstract

Realistic engineering systems often possess attributes that complicate their availability assessment. Notable examples being complex topology, multi-state behaviour, component interdependencies, and interactions with external phenomena. For such systems, analytical techniques have limited applicability, and efficient simulation techniques are, therefore, required. In this paper, a novel load-flow simulation approach is proposed to simplify the availability assessment of realistic engineering systems. The approach is simple and generally applicable to systems, including those with limited maintenance teams, reconfiguration requirements, and multiple commodity flows. A novel metric for assessing maintenance inadequacy and a real-time component ranking procedure are also introduced. In real-time ranking, failed components are assigned maintenance priorities during simulation in accordance with how much their availability improves system performance and how many idle maintenance teams there are. This eliminates the need for component importance ranking algorithms prior to simulation, which for some systems may be unnecessary. The applicability of the approach is demonstrated by analysing an offshore plant producing oil, gas, and water. The solution obtained is compared against another Monte Carlo simulation-based solution that requires the enumeration of the plant's cut-sets. The proposed approach is shown to be more intuitive, robust to human-induced errors, and require less human effort.

Item Type: Article
Uncontrolled Keywords: Multi-State system, Simulation, Interdependencies, Availability, Limited maintenance, Multi-Commodity
Depositing User: Symplectic Admin
Date Deposited: 09 May 2017 13:07
Last Modified: 19 Jan 2023 07:04
DOI: 10.1016/j.ress.2017.05.010
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3007317
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