基于改进XGBoost的注塑机液压系统故障诊断研究

Research on fault diagnosis of hydraulic system ofinjection molding machine based on improved XGBoost

针对注塑机液压系统故障隐蔽且难以准确诊断的问题,提出一种基于改进XGBoost的液压系统故障诊断方法。通过改进Tent混沌映射改善麻雀搜索算法(SSA)的全局寻优能力,并采用改进SSA对XGBoost中的超参数进行协调优化,弥补传统XGBoost凭经验设定超参数的不足。实验表明,改进XGBoost故障诊断模型具有更快的诊断速度和更高的诊断精度,能够实现对注塑机液压系统故障的准确诊断。

Aiming at the problem that the hydraulic system fault of injection molding machine is hidden and difficult to diagnose accurately,a fault diagnosis method of hydraulic system based on improved XGBoost is proposed.By improving Tent chaotic mapping,the global optimization ability of sparrow search algorithm(SSA)is improved,and the superparameter in XGBoost is coordinated and optimized by improved SSA,which changes the deficiency of traditional XGBoost in setting super-parameter by experience.The experiment shows that the improved XGBoost fault diagnosis model has faster diagnosis speed and higher diagnosis accuracy,and can accurately locate the valve fault of hydraulic system.