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Maximum Entropy Approach to Reliability of Multi-Component Systems with Non-Repairable or Repairable Components
Yi-Mu Du1, Jin-Fu Chen1,2, Xuefei Guan1
1Graduate School of China Academy of Engineering Physics, Beijing 100193, China.
Entropy (Basel, Switzerland)
|April 3, 2021
Summary
This study introduces a novel maximum entropy approach to model system degradation and recovery. It enhances reliability assessment by analyzing component-level processes in various systems.
Area of Science:
- Multidisciplinary science
- Systems engineering
- Reliability engineering
Background:
- Degradation and recovery are multi-scale phenomena crucial for system aging.
- Understanding component-level interactions is key to system reliability evaluation.
Purpose of the Study:
- To propose a novel approach for modeling and inferring degradation and recovery processes at the component level.
- To apply this approach to both repairable and non-repairable systems.
- To integrate network connectivity and statistical moments for hazard and recovery rate inference.
Main Methods:
- Utilizing the principle of maximum entropy for modeling.
- Incorporating reliability block diagrams to represent system structure.
- Integrating network connectivity and statistical moments for rate inference.
Main Results:
- A unified approach to model degradation and recovery processes is developed.
- The method is successfully applied to repairable and non-repairable systems.
- Numerical examples demonstrate the effectiveness of the proposed approach.
Conclusions:
- The proposed maximum entropy approach provides a robust framework for analyzing component-level degradation and recovery.
- This method enhances the evaluation of system reliability by considering multi-scale phenomena.
- The integration of network structure and statistical properties offers a powerful tool for reliability engineering.
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