Fading SPRT method for soft fault diagnosis in SINS/CNS/SRS integrated navigation system

被引：0
|
作者：
Gao G. [1 ,2 ]
Gao S. [1 ,2 ]
Peng X. [3 ]
Hu G. [1 ,2 ]
机构：
[1] School of Automation, Northwestern Polytechnical University, Xi'an
[2] Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen
[3] NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing
来源：
Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology | 2020年 / 28卷 / 06期
关键词：
Fading factor; Fault detection; Integrated navigation; Spectral redshift navigation; SPRT;
D O I：
10.13695/j.cnki.12-1222/o3.2020.06.021
中图分类号：
学科分类号：
摘要：
In order to improve the stability of the navigation system, real-time fault diagnosis and isolation are essential. The sequential probability ratio test (SPRT) has sensitivity to the detection of slow-growing soft faults, but SPRT has an obviously defect that has time delay in fault detection and even cannot detect the fault end. The defect of SPRT is analyzed and further a fading SPRT method is proposed. The Fading SPRT method introduces the Fading factor in the calculation of SPRT statistics, which reduces the influence of historical measurement on the statistics at the time with failure, thus avoids the problem that SPRT cannot detect the end of failure and reduce the delay in fault detection. Finally, based on the proposed SINS / CNS / SRS integrated navigation system, the fading SPRT method is verified. As the simulation results shown, fading SPRT can detect the fault end and reduced the time delay in fault start detection by 41%, which greatly improves the real-time estimation accuracy and reliability of SINS/CNS/SRS integrated navigation system under slow-growing fault. © 2020, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.
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页码：834 / 840
页数：6
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