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Anomaly Detection in Offshore Wind Turbine Structures using Hierarchical Bayesian Modelling
March 1, 2024, 5:43 a.m. | S. M. Smith, A. J. Hughes, T. A. Dardeno, L. A. Bull, N. Dervilis, K. Worden
cs.LG updates on arXiv.org arxiv.org
Abstract: Population-based structural health monitoring (PBSHM), aims to share information between members of a population. An offshore wind (OW) farm could be considered as a population of nominally-identical wind-turbine structures. However, benign variations exist among members, such as geometry, sea-bed conditions and temperature differences. These factors could influence structural properties and therefore the dynamic response, making it more difficult to detect structural problems via traditional SHM techniques. This paper explores the use of a hierarchical Bayesian …
abstract anomaly anomaly detection arxiv bayesian cs.lg detection differences geometry health hierarchical information modelling monitoring population type wind
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