A reliability-based approach to determine the minimum detectable damage for statistical damage detection
作者： Michael Döhler , Carlos E. Ventura , Alexander Mendler , Alexander Mendler
DOI: 10.1016/J.YMSSP.2020.107561
关键词: Sensitivity (control systems) 、 Reliability (statistics) 、 Statistical power 、 Vibration 、 Proof of concept 、 Subspace topology 、 Algorithm 、 Finite element method 、 Feature (computer vision) 、 Computer science
摘要: Abstract This paper derives a formula to determine the minimum detectable damage based on ambient vibration data. It is key element analyze which scenarios can be detected before monitoring system installed. For analysis, data from reference structure as well finite model are required. Minimum detectability defined by adopting code-based reliability concept that considers probability of detection and false alarms. The results demonstrate depends three elements: uncertainty damage-sensitive feature (which decreases with increasing measurement duration), its sensitivity towards model-based design parameters, requirements regarding diagnosis results. theory developed for stochastic subspace-based method but applied any provided sensitivities statistical properties characterized. proof concept, change in stiffness mass pin-supported beam analyzed numerical experimental study, respectively. predictions approach appear accurate robust noise effects both simulated real
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