基于时间序列的弹药输送车载供弹系统故障诊断  

Fault Diagnosis of the system for conveying the ammunition Based on Time Series Analysis

作　　者：李英顺[1] 徐长青[2] 李平[3] 邹翔[3] 王德彪[3] 

机构地区：[1]沈阳工业大学工程学院 [2]沈阳工业大学信息科学与工程学院 [3]中国人民解放军65521部队

出　　处：《中国科技信息》2012年第21期102-103,共2页China Science and Technology Information

基　　金：2012年辽宁省教育厅项目(L2012031);2011年沈阳军区装备部基金资助项目(2011485)

摘　　要：针对弹药输送车载供弹系统在弹药输送过程中发生故障难以诊断的问题,提出了一种基于时间序列的弹药输送车载供弹系统故障诊断方法。该方法通过对弹药输送车载供弹系统故障样本数据进行时间序列分析,从分析结果中提取弹药输送车载供弹系统故障参数作为特征向量,以此建立相应的神经网络并训练,实现弹药输送车载供弹系统故障的诊断。仿真结果表明,上述方法不仅实现了对故障的快速诊断,而且还对弹药输送车载供弹系统未知故障发生前进行有效的预测。According to the system for conveying the ammunition in ammunition transmission fault occurred in the process of difficult to diagnosis is put forward based on time series of ammunition for the transport vehicle system fault diagnosis methods.The method of ammunition for transport vehicle through the system fault sample data time series analysis,the results of ammunition for the transport vehicle extraction system failure parameters as the characteristic vector,to establish the corresponding neural network,and the neural network training network,and realize the ammunition for the transport vehicle system failure diagnosis.Training simulation results show that this method can not only realize the fault of the rapid diagnosis,but also improve the precision of fault diagnosis,and the system for conveying the ammunition unknown fault occurred for effective forecast.

关 键 词：弹药输送车载供弹系统 故障诊断 时间序列 特征向量 神经网络 

分 类 号：E939[军事—军事装备学]