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利用有限元分析方法,得到了摇臂功率流幅值分布云图和功率流矢量图;通过分析,得到了摇臂传感器布置的相关结论。在此基础上,借助ANSYS,采用粒子群算法对传感器的数量和具体测点进行了优化计算,得到了摇臂传感器数量与适应度值的关系。通过功率流法和粒子群算法,优化了摇臂传感器布置策略,对摇臂的故障诊断具有先进的理论指导意义。
By means of finite element analysis, the amplitude distribution and power flow vector of rocker arm power flow were obtained. Through the analysis, the relevant conclusions of rocker arm sensor arrangement were obtained. On this basis, with the help of ANSYS, the particle swarm algorithm is used to optimize the number of sensors and the specific measuring points, and the relationship between the number of rocker sensors and the fitness value is obtained. Through power flow method and particle swarm optimization algorithm, the sensor layout strategy of rocker arm is optimized, which has advanced theoretical guidance to the rocker arm fault diagnosis.