蚁群算法在核能动力系统分级故障定位中的应用研究

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Application of Ant Colony Optimization in NPP Classification Fault Location

1. College of Traffic College, Northeast Forestry University, Harbin, 150040, China;
2. College of Nuclear Science and Technology, Harbin Engineering University, Harbin, 150001, China

摘要: 核能动力系统是一个高度复杂并具有高安全性要求的结构体系,为提高其安全性,故障定位显得尤为重要。蚁群算法是一种新型的优化算法,本文提出将其应用于核能动力系统的故障定位,并将核能动力系统进行分级处理,以一回路主冷却剂简化系统为研究对象,利用VB6.0编程技术设计了核能动力系统故障定位系统。利用文献中的数据对该系统进行了测试,结果表明利用蚁群算法可以准确地对核能动力系统进行分级故障定位。
- 核能动力系统 /
- 分级故障定位 /
- 蚁群算法
Abstract: Nuclear Power Plant is a highly complex structural system with high safety requirements.Fault location appears to be particularly important to enhance its safety.Ant Colony Optimization is a new type of optimization algorithm,which is used in the fault location and classification of nuclear power plants in this paper.Taking the main coolant system of the first loop as the study object,using VB6.0 programming technology,the NPP fault location system is designed,and is tested against the related data in the literature.Test results show that the ant colony optimization can be used in the accurate classification fault location in the nuclear power plants.
- Nuclear Power Plant /
- Classification fault location /
- Ant Colony Optimization