A new fault detection and identification method for integrated navigation systems

2007 ◽  
Author(s):  
Kun Liang ◽  
Bin Wang ◽  
Huli Shi
Keyword(s):  
Fault Detection ◽  
Navigation Systems ◽  
Integrated Navigation ◽  
Identification Method ◽  
Detection And Identification ◽  
Fault Detection And Identification

scholarly journals A Novel Method of Fault Detection and Identification in a Tightly Coupled, INS/GNSS-Integrated System

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2922
Author(s):  
Fan Zhang ◽  
Ye Wang ◽  
Yanbin Gao
Keyword(s):  
Fault Detection ◽  
Parametric Bootstrap ◽  
Integrated System ◽  
Range Data ◽  
Navigation Systems ◽  
Integrated Navigation ◽  
Multiple Faults ◽  
Detection And Identification ◽  
Fault Detection And Identification ◽  
Tightly Coupled

Fault detection and identification are vital for guaranteeing the precision and reliability of tightly coupled inertial navigation system (INS)/global navigation satellite system (GNSS)-integrated navigation systems. A variance shift outlier model (VSOM) was employed to detect faults in the raw pseudo-range data in this paper. The measurements were partially excluded or included in the estimation process depending on the size of the associated shift in the variance. As an objective measure, likelihood ratio and score test statistics were used to determine whether the measurements inflated variance and were deemed to be faulty. The VSOM is appealing because the down-weighting of faulty measurements with the proper weighting factors in the analysis automatically becomes part of the estimation procedure instead of deletion. A parametric bootstrap procedure for significance assessment and multiple testing to identify faults in the VSOM is proposed. The results show that VSOM was validated through field tests, and it works well when single or multiple faults exist in GNSS measurements.

Fault detection and identification method using observer-based residuals

2019 ◽  
Vol 184 ◽  
pp. 27-40 ◽  
Author(s):  
Haedong Jeong ◽  
Bumsoo Park ◽  
Seungtae Park ◽  
Hyungcheol Min ◽  
Seungchul Lee
Keyword(s):  
Fault Detection ◽  
Identification Method ◽  
Detection And Identification ◽  
Fault Detection And Identification
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