Structural Damage Identification Based On Federal Extended Kalman Filter

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Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (21) : 185-191.

Zhang Chun, Wang Lu-dan, Song Gu-quan, Xu Chang-hong, Liao Qun

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Abstract

The interaction of structure damages and sensor faults will deteriorate identified results evidently, so an identification algorithm of structure damages based on Federated Extended Kalman Filter method (FEKF) is 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, FEKF also can eliminate the effects of fault sensors by automatic detection and removal of the fault sensor signal. Numerical simulation and experiments show that FEKF can ensure the accuracy and stability of the damage identification and detect fault signal effectively.

Key words

federal extended Kalman filter / damage identification / sensor fault / residual chi-square test / decentralized filter

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Zhang Chun, Wang Lu-dan, Song Gu-quan, Xu Chang-hong, Liao Qun. Structural Damage Identification Based On Federal Extended Kalman Filter[J]. Journal of Vibration and Shock, 2017, 36(21): 185-191

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