计算机与数字工程2023，Vol.51Issue(12)：2795-2800,6.DOI:10.3969/j.issn.1672-9722.2023.12.006
基于改进离散粒子群算法优化故障等级的传感器布局
Optimized Sensor Layout Considering Fault Level Based on Improved Discrete Particle Swarm Algorithm
詹梦园 1李震 1田璐 1苗虹2
作者信息
- 1. 江苏科技大学电子信息学院 镇江 212003
- 2. 江苏科技大学经济管理学院 镇江 212003
- 折叠
摘要
Abstract
A sensor layout method based on improved discrete particle swarm algorithm to optimize the fault level is proposed to solve the layout problem of sensor detection faults.The system failure mode is obtained through failure mode impact and criticality analysis,and the system failure mode is divided into fault levels.Then constraint conditions are constructed based on the failure rate missed detection rate,the fitness function is constructed for the sensor cost.A dynamic adjustment strategy is constructed for nonlin-ear optimization learning factors.The improved discrete particle swarm algorithm is used to solve the optimal fitness function under the constraint condition of the fault missed detection rate.The simulation experiment shows the superiority of the application of this paper to get a lower cost with satisfaction of different fault level.关键词
离散粒子群算法/故障等级/学习因子/传感器布局Key words
discrete particle swarm algorithm/failure level/learning factor/sensor layout分类
信息技术与安全科学引用本文复制引用
詹梦园,李震,田璐,苗虹..基于改进离散粒子群算法优化故障等级的传感器布局[J].计算机与数字工程,2023,51(12):2795-2800,6.
