The application of CPSO on measurement point optimization

Abstract

In order to solve the problem of sensors placement in gearbox faults detection, a method of measurement point optimization based on particle swarm optimization (PSO) is discribed. The fitness of PSO is set up based on analysis on the modal assurance criterion(MAC) for measurement point optimization. After setting up finite element model and proceeding modal analysis of gearbox, particle swarm optimization with dynamic accelerating constants (CPSO) is applied to optimize and dertermin the numbers and locations of sensors for gearbox. In optimal process the fitness function is taken as evaluation object. The method discribed in this paper is proved to be feasible by an example of gearbox fault diagnosis. The fault identified accuracy after measurement point optimization is improved.