车载定位定向导航系统故障诊断分析

Analysis in Fault Diagnosis of Vehicle-Mounted Navigation System for Location and Orientation

通过对机组运行过程数据序列的统计辨识,逐步积累识别故障能力,建立有效的故障诊断体系。运用时间序列分析法对正常和故障情况下导航系统中方位保持部件陀螺仪输出随机漂移信号进行分析,得到一种判断陀螺仪性能故障的方法。建立陀螺仪随机漂移数学模型AR(p)模型,并采用K-L(Kullback-Leibler)信息测度检测法构造相应的信息距离差别函数进行系统状态检测。利用该时序分析法能够有效地检测出系统故障。

Through statistical identification of data series during the course of unit running, capability of fault identification is accumulated gradually to set up an effective fault diagnosis system. By means of time series analysis method, random drift signal output by oriention gyro in navigation system is analyzed under normal and fault conditions so as to obtain a fault identification method of gyro performance. By established mathematics AR（p） model and using K-L （Kullback-Leibler） measuring method based on information range difference function, system state is tested. The method of time series anal ysis can diagnose system faults effectively.