基于支持向量机的机械零件寿命预测模型研究

Research on Life Prediction of Mechanical Parts Based on Material Mechanics

机械零件的使用寿命是一个重要的问题,直接影响机械设备的安全和稳定运行。传统试验方法确定机械零件的寿命需要耗费大量的时间和资源,而且在试验过程中难以考虑到各种复杂的实际工作环境和使用条件。采用支持向量机的方法来预测机械零件的寿命,通过机械零件退化特征构造时间更新方程分析推断材料在不同工作条件下的寿命。研究结果可以为机械设备的设计和维护提供参考依据与分析方法。

The service life of mechanical parts is an important issue that directly affects the safe and stable operation of machinery and equipment.Traditional test methods to determine the life of mechanical parts require a lot of time and resources,and it is difficult to take into account various complex actual working environments and usage conditions during the test process.Therefore,this paper adopts the support vector machine method to predict the life of mechanical parts,and constructs the time update equation analysis to infer the life of materials under different working conditions through the degradation characteristics of mechanical parts.The results of the study can provide a reference basis and analysis method for the design and maintenance of mechanical equipment.