Abstract:A Proof-of-Concept (POC) low power-low current wireless sensor network (WSN) for corrosion detection and monitoring of offshore wind turbine (OWT)'s component, entitled iWindCr, has been developed and field trialled in one of the OWTs in the UK south region. This paper reports on the setting up and outcomes of this field trial. The trial has successfully demonstrated the working functionality of the WSN by measuring changes of the Open Circuit Potential (OCP) and Zero Resistance Ammeter (ZRA) electrochemical p… Show more
“…Recent studies on full-scale ship and offshore structure corrosion monitoring have revealed notable methodologies. Simandjuntak et al (2021) applied electrochemical sensors in their monitoring application for offshore wind turbines in the United Kingdom. Their research delves into the reliability of electrochemical sensors in estimating corrosion rates in offshore environments.…”
Section: Module 1–1: On-site Measurements Of In-service Damagementioning
confidence: 99%
“…Despite recent advancements in individual technologies, certain ones may still be in their early stages of development or impractical for implementation within a real ship and offshore structure’s DHE system. Hence, we propose a prototype system that leverages practical technologies and approaches to ensure the lifetime healthcare of aging ships and offshore structures. Figure 3. Photographs of a field trial for in situ monitoring on the existing offshore structures: (a) electrochemical sensor (Simandjuntak et al, 2021); (b) optical fiber strain sensor (Lee and Chung, 2016); (c) image processing technology (Momber, 2016); and (d) Visual inspection (DEEPWATER, 2022). …”
Section: Introductionmentioning
confidence: 99%
“…Photographs of a field trial for in situ monitoring on the existing offshore structures: (a) electrochemical sensor (Simandjuntak et al, 2021); (b) optical fiber strain sensor (Lee and Chung, 2016); (c) image processing technology (Momber, 2016); and (d) Visual inspection (DEEPWATER, 2022). …”
Aging ships and offshore structures face harsh environmental and operational conditions in remote areas, leading to age-related damages such as corrosion wastage, fatigue cracking, and mechanical denting. These deteriorations, if left unattended, can escalate into catastrophic failures, causing casualties, property damage, and marine pollution. Hence, ensuring the safety and integrity of aging ships and offshore structures is paramount and achievable through innovative healthcare schemes. One such paradigm, digital healthcare engineering (DHE), initially introduced by the final coauthor, aims at providing lifetime healthcare for engineered structures, infrastructure, and individuals (e.g., seafarers) by harnessing advancements in digitalization and communication technologies. The DHE framework comprises five interconnected modules: on-site health parameter monitoring, data transmission to analytics centers, data analytics, simulation and visualization via digital twins, artificial intelligence-driven diagnosis and remedial planning using machine and deep learning, and predictive health condition analysis for future maintenance. This article surveys recent technological advancements pertinent to each DHE module, with a focus on its application to aging ships and offshore structures. The primary objectives include identifying cost-effective and accurate techniques to establish a DHE system for lifetime healthcare of aging ships and offshore structures—a project currently in progress by the authors.
“…Recent studies on full-scale ship and offshore structure corrosion monitoring have revealed notable methodologies. Simandjuntak et al (2021) applied electrochemical sensors in their monitoring application for offshore wind turbines in the United Kingdom. Their research delves into the reliability of electrochemical sensors in estimating corrosion rates in offshore environments.…”
Section: Module 1–1: On-site Measurements Of In-service Damagementioning
confidence: 99%
“…Despite recent advancements in individual technologies, certain ones may still be in their early stages of development or impractical for implementation within a real ship and offshore structure’s DHE system. Hence, we propose a prototype system that leverages practical technologies and approaches to ensure the lifetime healthcare of aging ships and offshore structures. Figure 3. Photographs of a field trial for in situ monitoring on the existing offshore structures: (a) electrochemical sensor (Simandjuntak et al, 2021); (b) optical fiber strain sensor (Lee and Chung, 2016); (c) image processing technology (Momber, 2016); and (d) Visual inspection (DEEPWATER, 2022). …”
Section: Introductionmentioning
confidence: 99%
“…Photographs of a field trial for in situ monitoring on the existing offshore structures: (a) electrochemical sensor (Simandjuntak et al, 2021); (b) optical fiber strain sensor (Lee and Chung, 2016); (c) image processing technology (Momber, 2016); and (d) Visual inspection (DEEPWATER, 2022). …”
Aging ships and offshore structures face harsh environmental and operational conditions in remote areas, leading to age-related damages such as corrosion wastage, fatigue cracking, and mechanical denting. These deteriorations, if left unattended, can escalate into catastrophic failures, causing casualties, property damage, and marine pollution. Hence, ensuring the safety and integrity of aging ships and offshore structures is paramount and achievable through innovative healthcare schemes. One such paradigm, digital healthcare engineering (DHE), initially introduced by the final coauthor, aims at providing lifetime healthcare for engineered structures, infrastructure, and individuals (e.g., seafarers) by harnessing advancements in digitalization and communication technologies. The DHE framework comprises five interconnected modules: on-site health parameter monitoring, data transmission to analytics centers, data analytics, simulation and visualization via digital twins, artificial intelligence-driven diagnosis and remedial planning using machine and deep learning, and predictive health condition analysis for future maintenance. This article surveys recent technological advancements pertinent to each DHE module, with a focus on its application to aging ships and offshore structures. The primary objectives include identifying cost-effective and accurate techniques to establish a DHE system for lifetime healthcare of aging ships and offshore structures—a project currently in progress by the authors.
In marine applications, the scaled wind turbine model (SWTM) based aerodynamic testing apparatus is regarded as one of the most effective approaches to predict the aerodynamic performance of offshore floating wind turbines (OFWTs). To fully disclose the aerodynamics of OFWTs, such kind of apparatus should meet two design requirements: 1) accurate representation of the aerodynamic characteristics of reference wind turbines and 2) reasonable reproduction of the environmental factors from real-world wind-wave-coupled field. Baring with these considerations, the authors propose a cost-effective SWTM based aerodynamic testing apparatus, which consists of an innovative SWTM, a wind-wave simulator (WWS), and a data acquisition and analyses system. The proposed SWTM is featured by a double-deck tower, which satisfies the requirements of similarity in geometry, stiffness, and mass, and a set of redesigned blades. The proposed WWS is capable of simulating both the time-varying inflow wind and the wave-induced platform motions through a wind field generator and a motion simulator. Based on the developed apparatus, a series of aerodynamic tests are conducted to validate the effectiveness of the apparatus design. In addition, the coupling effects of inflow wind and platform motions on aerodynamics of OFWT are further revealed through experimental tests.
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