Condition-based maintenance for a multi-component system in a dynamic operating environment. (March 2023)
- Record Type:
- Journal Article
- Title:
- Condition-based maintenance for a multi-component system in a dynamic operating environment. (March 2023)
- Main Title:
- Condition-based maintenance for a multi-component system in a dynamic operating environment
- Authors:
- Zhang, Nan
Deng, Yingjun
Liu, Bin
Zhang, Jun - Abstract:
- Abstract: This paper develops a condition-based maintenance (CBM) model for a multi-component system operating under a dynamic environment. The degradation process of each component depends on both its intrinsic characteristic and the common operating environment. We model the environment evolution by a continuous-time Markov process, given which, the degradation increment of each component is described by a Poisson distribution. System reliability is firstly obtained, followed by a CBM policy to sustain system operation and ensure safety. In modelling the environmental effect on component degradation processes, two scenarios are considered. The first scenario considers renewable environment evolution while the second scenario on non-renewable environment evolution. The problem is casted into the Markov decision process (MDP) framework where the total expected discounted cost in the long-run horizon is utilized as the optimization objective to assess the policy. Structural properties of the optimal maintenance policy are investigated under mild conditions, which are further embedded into the value iteration algorithm to reduce the computational burden in calculating the maintenance cost. Applicability of the proposed model is illustrated through numerical examples. Highlights: We investigate the reliability and a CBM policy for a multi-component components. The system is generic and no specific system configuration is assumed. We discuss two types of environment effects onAbstract: This paper develops a condition-based maintenance (CBM) model for a multi-component system operating under a dynamic environment. The degradation process of each component depends on both its intrinsic characteristic and the common operating environment. We model the environment evolution by a continuous-time Markov process, given which, the degradation increment of each component is described by a Poisson distribution. System reliability is firstly obtained, followed by a CBM policy to sustain system operation and ensure safety. In modelling the environmental effect on component degradation processes, two scenarios are considered. The first scenario considers renewable environment evolution while the second scenario on non-renewable environment evolution. The problem is casted into the Markov decision process (MDP) framework where the total expected discounted cost in the long-run horizon is utilized as the optimization objective to assess the policy. Structural properties of the optimal maintenance policy are investigated under mild conditions, which are further embedded into the value iteration algorithm to reduce the computational burden in calculating the maintenance cost. Applicability of the proposed model is illustrated through numerical examples. Highlights: We investigate the reliability and a CBM policy for a multi-component components. The system is generic and no specific system configuration is assumed. We discuss two types of environment effects on the maintenance strategy. Under mild conditions, the structural properties of the policy are derived. … (more)
- Is Part Of:
- Reliability engineering & system safety. Volume 231(2023)
- Journal:
- Reliability engineering & system safety
- Issue:
- Volume 231(2023)
- Issue Display:
- Volume 231, Issue 2023 (2023)
- Year:
- 2023
- Volume:
- 231
- Issue:
- 2023
- Issue Sort Value:
- 2023-0231-2023-0000
- Page Start:
- Page End:
- Publication Date:
- 2023-03
- Subjects:
- Dynamic environment -- Condition-based maintenance -- Multi-component systems -- Markov decision process
Reliability (Engineering) -- Periodicals
System safety -- Periodicals
Industrial safety -- Periodicals
Fiabilité -- Périodiques
Sécurité des systèmes -- Périodiques
Sécurité du travail -- Périodiques
620.00452 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09518320 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ress.2022.108988 ↗
- Languages:
- English
- ISSNs:
- 0951-8320
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7356.422700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24773.xml