What is it about?
In this study, criteria importance through inter criteria correlation-evaluation based on distance from average solution methodology is employed to analyze SHM and maintenance technologies for OWTS. Their various applications are highlighted, and the technologies are prioritized using six indicators, namely, compatibility, potential cost reduction, needed investment, technology maturity, ease of application and potential reliability, and availability and maintainability of the considered technology. The study also aimed to improve the reliability of OWTS and minimize its maintenance cost. The results indicate that the technology's ease of application, with a weight of 0.201 8, is the most important criterion. Furthermore, mathematical models as an SHM, along with maintenance technology, is ranked as the best alternative with an appraisal score of 0.770 6 and is considered more advantageous than other alternatives. This study provides a new research direction toward improving OWTS reliability. The findings will also aid the decision making of practitioners and researchers in the field of marine and offshore industry in relation to the optimal operations of OWTS.
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Why is it important?
This study provides a new research direction toward improving OWTS reliability. The findings will also aid the decision making of practitioners and researchers in the field of marine and offshore industry in relation to the optimal operations of OWTS.
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This page is a summary of: Application of CRITIC–EDAS-Based Approach in Structural Health Monitoring and Maintenance of Offshore Wind Turbine Systems, Journal of Marine Science and Application, September 2023, Springer Science + Business Media,
DOI: 10.1007/s11804-023-00355-5.
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