基于灰色预测的直升机齿轮箱状态预测方法

State Prediction of Helicopter Gearbox Based on Grey Prediction Method 

摘要:

作为直升机上重要的关键部件,直升机齿轮箱能够将动力转换为动力输出形式,从而满足不同形式下动力的需要；针对直升机齿轮箱状态无法准确预测的技术难题,将灰色系统理论中的灰色预测方法运用到直升机齿轮箱中,有效解决了齿轮箱使用状态难以准确预测的技术难题；首先对采集到的直升机齿轮箱的不同的振动信号进行特征提取,然后采用信息融合技术,将不同振动信号的特征值进行融合,最后运用灰色预测方法对直升机齿轮箱的使用状态进行预测；文中对所提出的方法进行了试验验证,结果表明,所提出的基于灰色预测的直升机齿轮箱状态预测方法能够实现对直升机齿轮箱的状态准确预测的效能,并对其他航空设备以及机械设备的状态预测具有一定的借鉴意义。

Abstract:

As a key part of the helicopter, the helicopter gearbox can convert power into the power output, so as to meet the need of different forms.Aiming at the technical problem of helicopter gearbox condition can not be accurately forecast, the grey prediction method is applied to the helicopter gearbox, so effectively solve the difficult technical problem of the accurately predict to the status gearbox. Firstly, the vibration signal of helicopter gearbox which have been collected, and the feature were picked up. Then, the paper used the information fusion technology for the characteristics of different values vibration signal to fusion. Finally, the paper used the grey prediction method for helicopter gearbox to state prediction. In this paper, the proposed method is verified by experiment. The results show that the proposed state grey prediction method can achieve the accurate prediction of helicopter gearbox state performance, and the state prediction method has a certain significance for other aviation equipment and machinery equipment.