Abrupt fault detection algorithm for GNSS/accelerometer integrated deformation monitoring based on state domain
SUN Ao
ZHANG Qiuzhao
ZHANG Yunlong
YU Zhangjun
Abstract:The GNSS/accelerometer fusion monitoring can integrate the advantages of two kinds of sensors,which can improve the accuracy and integrity of structural deformation monitoring.Objectives The tradi-tional fault detection methods must rely on the assumption of known real state information,and need to establish a state iterator and have low calculation efficiency.Methods This paper deduces and innovates the traditional fault detection methods and the state domain consistency theory,and proposes a GNSS/accelerom-eter integrated deformation monitoring abrupt fault detection method based on the state domain consistency theory.This method constructs the state test statistics based on the state estimation value and the state pre-diction value,which directly detects the fault in the state domain without knowing the real state information and avoiding the iterative calculation of the state information.Compared with traditional methods,it has higher efficiency and stronger robustness.In the artificial excitation deformation experiment of Wilford bridge in the UK,different degrees of gross errors were added to the measurement domain to simulate abrupt faults,and the proposed method was used to detect the faults in the fusion process of GNSS/acceler-ometer.Results The results show that the proposed method can distinguish the deformation and abrupt faults in the normal operation process of the bridge,and can effectively detect and timely warn the aburpt faults in the fusion process of GNSS/accelerometer.Conclusions The proposed method has the correspond-ing GNSS/accelerometer fusion fault detection ability,which is of great significance to improve the reliabil-ity and consistency of GNSS/accelerometer deformation monitoring.
Keywords:Kalman filterstate domainabrupt faultsdeformation monitoringaccelerometer
Publication Date:2024-10-28
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:8( 79-86 )
Journal of Henan Polytechnic University(Natural Science)

Journal of Henan Polytechnic University(Natural Science)

ISTICPKU
ISSN:1673-9787
Year, Vol.(Issue):2024,43(5)