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- W4317951842 endingPage "108" @default.
- W4317951842 startingPage "89" @default.
- W4317951842 abstract "This paper deals with state of the art in structural health monitoring (SHM) methods in offshore and marine structures. Most SHM methods have been developed for onshore infrastructures. Few studies are available to implement SHM technologies in offshore and marine structures. This paper aims to fill this gap and highlight the challenges in implementing SHM methods in offshore and marine structures. The present work categorises the available techniques for establishing SHM models in oil rigs, offshore wind turbine structures, subsea systems, vessels, pipelines and so on. Additionally, the capabilities of proposed ideas in recent publications are classified into three main categories: model-based methods, vibration-based methods and digital twin methods. Recently developed novel signal processing and machine learning algorithms are reviewed and their abilities are discussed. Developed methods in vision-based and population-based approaches are also presented and discussed. The aim of this paper is to provide guidelines for selecting and establishing SHM in offshore and marine structures." @default.
- W4317951842 created "2023-01-25" @default.
- W4317951842 creator A5008397299 @default.
- W4317951842 creator A5013319781 @default.
- W4317951842 creator A5060859546 @default.
- W4317951842 creator A5072008183 @default.
- W4317951842 date "2023-04-01" @default.
- W4317951842 modified "2023-10-14" @default.
- W4317951842 title "State of the art in structural health monitoring of offshore and marine structures" @default.
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