Hybrid backup-based firing test system reliability evaluation and optimization method
By modularizing the ignition test system and constructing a reliability model through hybrid backup, and using an improved gorilla force optimization algorithm to solve the redundancy optimization problem, the problems of insufficient reliability and increased cost in existing ignition test systems are solved, thus achieving optimization of system reliability and cost.
CN116562167BActive Publication Date: 2026-07-21CHONGQING UNIV
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHONGQING UNIV
- Filing Date
- 2023-05-29
- Publication Date
- 2026-07-21
AI Technical Summary
Technical Problem
Existing reliability assessment methods for ignition testing systems are not applicable, traditional redundancy backup methods are insufficient to improve reliability, leading to increased system structure and cost, and existing modeling methods are highly complex.
Method used
The firing test system is modularized using a hybrid backup approach to build a reliability model. The redundancy optimization problem is solved by an improved Gorilla Troops Optimization Algorithm (GTO) to optimize the redundancy configuration of the firing test system.
Benefits of technology
It effectively improves the reliability of the ignition test system, simplifies the calculation process, reduces system costs, and enhances the overall performance of the system.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN116562167B_ABST
Abstract
The application discloses a mixed backup-based firing test system reliability evaluation and optimization method, mainly relates to the field of firing test system, and comprises the following steps: S1, modular analysis of devices with different working characteristics of a multi-stage firing test system; S2, construction of a firing test system reliability model under mixed backup; S3, construction and solution of a firing test system reliability optimization problem; the application constructs a firing test system reliability model, and proposes a redundancy optimization algorithm for the firing test system reliability model, so that the reliability of the firing test system is effectively improved.
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