基于PNN的机载设备故障预测  

Prognostic of an Aerial Equipment Based on PNN Forecast Model

作　　者：荆献勇[1] 肖明清[1] 胡雷刚[1] 李伟[1] 

机构地区：[1]空军工程大学工程学院航空兵器工程系,陕西西安710038

出　　处：《计算机测量与控制》2009年第12期2382-2384,2425,共4页Computer Measurement &Control

基　　金："十一五"国防预先研究项目(51317030103)

摘　　要：故障预测是PHM体系的重要特征,提出基于过程神经网络(PNN)对机载设备进行故障预测;首先建立了基于PNN的多步预测模型,推导了模型在函数正交基展开形式下的计算公式;基于正交基函数展开和矢量矩免疫算法训练PNN,推导出了适用于进化算法的优化问题模型;以设备转换部件Out2信号的全寿命故障规律为例进行了故障预测,基于MATLAB进行了仿真,结果表明,基于PNN进行故障预测精度较高,是一种有效的方法。Prognostic is an important characteristic of PHM system. Thus Prognostic of an Aero Equipment Based on Procedure Neural Network （PNN） is brought out. Firstly, the multi--steps model based on PNN is established, then the formula of the model based on orthogonal trigonometric function basis is deduced. Using both orthogonal function basis expansion and Immune Algorithm （IA） to train PNN. Finally, take the trend of the signal ‘Out2＇ that is of an converter in the device in its coherent life for example, simulation is carried out based on MATLAB, results show that using PNN to carry out prognostics can obtain more accurate value, and effectiveness of the way is also proved.

关 键 词：故障预测 过程神经网络(PNN) 免疫算法(IA) 

分 类 号：TJ303.13[兵器科学与技术—火炮、自动武器与弹药工程]