Multiple sets of INS fault detection based on information fusion

摘要：

As measurement noise exists in the output of gyroscopes and accelerometers in practical systems, traditional fault detection methods based on hardware redundancy easily cause misjudgment after determining the threshold. This paper presents a fault detection algorithm based on information fusion of multiple sets of inertial navigation system (INS). Combined with wavelet analysis, firstly fuse the information with weighted average algorithm, then reduce the noise interference of the error by the given threshold denoising method, finally, use the maximum coefficient of wavelet transform to determine the location of failure. The experimental results show that the proposed algorithm can effectively reduce the misjudgment rate and greatly improve the reliability of fault detection and the stability of fusion performance of multiple sets of INS.

关键词： INS information fusion wavelet analysis fault diagnosis.

作者: Shao Li Li Sihai Pei Runsen

作者单位: Automation College,Northwestern Polytechnical University,Xian 710072,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 1181-1185

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）