Optimized Sensor Layout Considering Fault Level Based on Improved Discrete Particle Swarm Algorithm
ZHAN Mengyuan
LI Zhen
TIAN Lu
MIAO Hong
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.
Keywords：discrete particle swarm algorithmfailure levellearning factorsensor layout
Publication Date：2023-12-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2795-2800 )