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Title |
Local Damage Detection Using Acceleration ARX Model
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Keywords |
ARX 모델 ; 손상지수 ; 국부손상 ; 신호기반 ; 통계적 평가 ARX model ; Damage index ; Local damage ; Signal-based ; Statistical evaluation |
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Abstract |
The paper presents a signal-based damage detection algorithm of ARX model using dynamic acceleration data. An ARX model correlates acceleration data measured at two locations in a structure by considering those two sets of data as input and output signals. For detecting damage, the error between the measured data and the predicted response from the defined ARX model is computed in time and used for a statistical evaluation. A normal distribution function from the error in time is constructed and its statistical characteristic values are used for the evaluation of damage. By comparing the normal distribution functions before and after damage, three different types of damage indices are proposed. The efficiency and limitation of the proposed algorithm with the statistical evaluation of damage indices have been examined and discussed through laboratory experiments.
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