Structural damage identification based on the federal extended kalman filter

被引：0
|
作者：
Zhang C. [1 ]
Wang L. [1 ]
Song G. [1 ]
Xu C. [1 ]
Liao Q. [1 ]
机构：
[1] School of Civil Engineering and Architecture, Nanchang University, Nanchang
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2017年 / 36卷 / 21期
关键词：
Damage identification; Decentralized filtering; Federal extended Kalman filter; Residual chi-square test; Sensor fault;
D O I：
10.13465/j.cnki.jvs.2017.21.027
中图分类号：
学科分类号：
摘要：
The coexistence of structure damages and sensor faults will deteriorate identified results evidently, so an algorithm for the identification of structure damages based on the Federated Extended Kalman Filter method (FEKF) was proposed by using free vibration signals. The presented method can identify the location and extent of damages accurately, and shows good robustness when the sensors work normally. Combined with the residual chi-square test, the FEKF also can eliminate the effects of fault sensors by the automatic detection and removal of the fault sensor signals. Numerical simulations and experiments show that the FEKF can ensure the accuracy and stability of the damage identification results and detect fault signals effectively. © 2017, Editorial Office of Journal of Vibration and Shock. All right reserved.
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页码：185 / 191and202
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