基于信息源特征的航空部附件故障预测研究

Research on Fault Prognostics of Aviation Accessories Based on the Feature Analysis of Information Source

摘要:

针对舰载机多机种一体化自主保障中机载设备的维修保障需求,提出了基于信息源特征分析的航空关键部附件故障预测方法；首先,从信息源数据特征、研究对象判定、用于预测的可用信息及不确定性4个角度对信息源特征的复杂性进行了分析；其次,根据航空部附件故障频率和平均停机维修时间采用四象限图实现航空关键部附件的判定；最后,基于信息源不同可用信息选择不同的故障预测方法,并介绍了智能融合的神经网络算法和能够消除不确定性的非线性滤波方法,提高了航空部附件故障预测方法的通用性和准确性。

Abstract:

Prediction method based on the analysis of the characteristics of information source of aviation key accessories fault is proposed for carrier based aircraft heterogeneous integration independent guarantee in airborne equipment of maintenance security needs. Firstly, The complexity of information source is analyzed from four perspectives of information source data, research object decision, the available information and uncertainty. Secondly, According to the Aviation Department of the annex to the failure frequency and average downtime maintenance time using the four quadrant chart to achieve the key parts of the aviation annex. Lastly, Based on the information from different sources of information available choice different fault prediction method, and introduces the intelligent integration of neural network algorithm and is able to eliminate the uncertainty of nonlinear filtering method and improve of the aviation accessories fault prediction method of generality and accuracy.