基于物理模型和灰色关联分析的直升机传动系统损伤定量检测方法

Quantitative detection approach for transmission system of helicopter based on physical model and gray relational analysis

结合物理模型与灰色理论,提出了一种直升机传动系统损伤定量检测方法.针对直升机主传动系统的2K-H行星轮系,建立了太阳轮缺齿损伤的物理基模型,通过仿真获得了不同损伤严重度的行星轮系振动信号.选择并计算仿真信号的特征向量,并以此作为损伤特征的标准模式,然后对待检信号特征向量与标准模式进行灰色关联度分析,根据关联度对损伤进行定量检测.试验数据的验证结果证明该方法对行星轮系太阳轮缺齿损伤具有良好的定量检测能力,并可将之应用于其他旋转机械典型损伤的定量检测.

An approach to detect the damage quantitatively in rotary machine was presented based on physical model and gray theory.For the purpose of detecting sun-gear tooth-chipped damage in 2K-H planetary gear sets,physics-based models for damage system with multi-stage severity were established,and then simulation data of damage system was obtained.Then,feature vector of simulation data extracted and computed was used as standard damage mode.Relational analysis in grey theory was carried out between standard damage mode and the feature vector of signal,and also checked.The quantitative detection result for damage was achieved from relational grade computed before.Tooth-chipped seeded tests were carried out and used to validate the approach.It is proved that the approach presented above is effective to detect the sun-gear tooth-chipped damage,and its potential profit in other rotary mechanical equipments will be researched in the future.