期刊
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
卷 111, 期 -, 页码 149-171出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2018.03.054
关键词
Damage detection; Population of structures; Vibration-based methods; Uncertainty; Variable operating conditions; Statistical time series type methods; Unsupervised methods; Structural Health Monitoring
资金
- European Commission [605549]
The problem of vibration-based damage detection for a population of nominally identical structures is considered via unsupervised statistical time series type methods. For this purpose a population sample comprising 31 nominally identical composite beams with significant beam-to-beam variability in the dynamics is employed, with impact-induced damage at various positions and two distinct energy levels. Two Multiple Model, MM, based statistical time series type methods are postulated, assessed, and compared with two 'conventional' methods. The assessment is based on a comprehensive and systematic procedure, making use of thousands of test cases via a 'rotation' procedure, with the results presented in the form of Receiver Operating Characteristic, ROC, curves. These indicate that 'conventional' methods are mostly ineffective, especially with low impact energy damages. On the other hand, the postulated Multiple Model parameter based methods achieve significantly improved performance, characterized as very good and providing overall correct damage detection rates approaching 100% for false alarm rates at or above 5%. (C) 2018 Elsevier Ltd. All rights reserved.
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