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Mission Abort Policy for Systems with Observable States of Standby Components
Gregory Levitin1,2, Liudong Xing3, Yuanshun Dai1
1Collaborative Autonomic Computing Laboratory, School of Computer Science, University of Electronic Science and Technology of China, Chengdu, China.
Summary
This study introduces advanced mission abort policies (MAPs) for standby systems, considering both component failures and available spares. These new policies enhance system survival and mission success probability in critical applications.
Area of Science:
- Reliability Engineering
- System Safety Analysis
Background:
- Critical applications require robust systems capable of mission accomplishment or safe survival via mission abort.
- Standby systems enhance mission success probability by utilizing spare components upon online component failure.
- Existing mission abort policies (MAPs) often overlook the status of standby components.
Purpose of the Study:
- To develop and analyze mission abort policies (MAPs) for standby systems that incorporate the number of failed online components and remaining standby components.
- To investigate dynamic MAPs that also consider the elapsed mission time for abort decisions.
- To improve risk mitigation and system survival in critical applications.
Main Methods:
- Modeling standby systems with novel MAPs considering online component failures and standby component availability.
- Developing dynamic MAPs that integrate elapsed mission time into the abort decision-making process.
- Employing an event-transition based numerical algorithm to evaluate mission success and system survival probabilities.
Main Results:
- MAPs incorporating standby component status and elapsed time offer greater flexibility.
- The developed methodology effectively evaluates the performance of standby systems under advanced MAPs.
- Demonstrated benefits of state-dependent and time-dependent MAPs for enhanced system reliability.
Conclusions:
- Considering standby component status and elapsed mission time leads to more adaptive and effective mission abort policies.
- The proposed approach enhances the reliability and survival probability of critical standby systems.
- This research provides a framework for optimizing risk management in complex systems.
Keywords:
Dynamic policymission abort policy (MAP)mission success probabilityrescuestandby componentsystem survival probabilityMore Related Videos
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