Power supply system multistage reliability prediction method based on fault precursor parameters
By adopting dynamic fault tree and multi-stress field simulation model in the power supply system, combined with system fault precursor parameters and weight coefficient analysis, the problem of difficulty in evaluating the reliability of multi-level and multi-task power systems in the existing technology is solved, and a higher accuracy reliability prediction is achieved.
Patent Information
- Application Number
- CN202411808819.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-10
- Publication Date
- 2025-03-21
- Estimated Expiration
- 2044-12-10
AI Technical Summary
The existing reliability modeling methods are difficult to effectively evaluate the reliability of multi-level and multi-task power systems, and rely too much on underlying component information, and fail to fully consider the dynamic timing changes and multi-stress coupling of the system under working tasks.
The multi-level reliability prediction method of power system based on fault precursor parameters is adopted, and the system-level functional structure is characterized by dynamic fault trees, a multi-stress field simulation model and a system-level dynamic simulation model are established, the system failure precursor parameters are extracted, and the system-wide task reliability comprehensive characterization is achieved through weight coefficient analysis.
It improves the predictive capability under limited information on the functional reliability of complex electronic systems, improves the reliability prediction accuracy in multi-level, multi-task power systems, and can more accurately evaluate the reliability of the system under different task processes.