Optimal Sensor Placement Method Based on IMBPSO Algorithm

摘要

Optimal sensor placement can provide the most valuable information at the lowest cost, which is the material basis to improve the performance of condition monitoring and fault diagnosis system. Firstly, this paper analyzes the problem of optimal sensor placement, determines the optimal placement criteria, and establishes the optimal sensor placement model according to the system testability index requirements. An improved particle swarm optimization algorithm. Immune Multi-direction Binary Particle Swarm Optimization (IMBPSO) is proposed by introducing Immune algorithm, and then the placement task is solved by the algorithm. The effectiveness of the proposed method is verified by an example, and the optimization results meet the requirements of placement index, which can provide effective guidance for the optimal configuration of sensors in PHM system.