Abstract
In order to cope with increasingly complex production tasks, the reliability requirements of some production systems are becoming increasingly high. During operation, the production systems are mostly multi-state in performance, mainly due to item failure or degradation in the system. As we all know, Dynamic Fault Tree is often used to evaluate the reliability of two-state systems, but it does not work for multi-state systems. Therefore, this paper extended the performance degradation logic gate model based on Dynamic Fault Tree and gave related simulation algorithms based on Monte Carlo sampling to calculate quantitative values for reliability such as Availability, MTBCF, MTTR, and so on. Finally, this article, taking production system D as an example, demonstrated the effectiveness of this method.
| Original language | English |
|---|---|
| Pages (from-to) | 184-191 |
| Number of pages | 8 |
| Journal | IET Conference Proceedings |
| Volume | 2023 |
| Issue number | 9 |
| DOIs | |
| State | Published - 2023 |
| Event | 13th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2023 - Kunming, China Duration: 26 Jul 2023 → 29 Jul 2023 |
Keywords
- DYNAMIC FAULT TREE
- MARKOV CHAIN
- MONTE CARLO
- POLYMORPHIC SYSTEM
Fingerprint
Dive into the research topics of 'EXTENDED RELIABILITY MODELING AND SIMULATION OF MULTI-STATE PRODUCTION SYSTEMS BASED ON DYNAMIC FAULT TREE'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver