Pareto-Based Bi-Objective Optimization Method of Sensor Placement in Structural Health Monitoring

For a practical structural health monitoring (SHM) system, the traditional single objective methods for optimal sensor placement (OSP) cannot always obtain result of deployment without sacrificing other targets, which creates obstacles to efficient use sensors. This study mainly focuses on establishing bi-objective optimization method select positions. The significance several single-objective criteria OSP is firstly discussed, based novel proposed Pareto process, and corresponding functions are established. Furthermore, non-dominated sorting genetic algorithm introduced series solutions, from final solution can be determined new defined membership degree index. Finally, numerical example plane truss applied illustrate method. optimization-based framework presented in this could well suited solving problem multi-objective OSP, effectively improve efficiency limited sensors SHM system.