Vibration-Based Damage Detection Using Time Series Analysis
Abstract eng: In this paper, a statistical pattern recognition method based on time series analysis is implemented to a 5 Story steel frame model. This method uses a combination of Auto-Regressive (AR) and Auto-Regressive with eXogenous inputs (ARX) prediction models. The response of the system was obtained for a linear system subjected to white-noise input. The standard deviation of Mahalanobis squared distance between healthy and damaged state is used to locate structural damaged sites. Three damage scenarios were studied. The occurrences and location of damage were identified for all cases.
Contributors:
Conference Title:
Conference Title:
14th World Conference on Earthquake Engineering
Conference Venue:
Bejing (CN)
Conference Dates:
2008-10-12 / 2008-10-17
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.
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Record created 2014-12-05, last modified 2014-12-05
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