Performing structural health monitoring(SHM)and maintaining an offshore wind turbine system(OWTS)involve periodic observations,analysis,and repairs of the malfunctioning part(s)of the system.In this study,criteria imp...Performing structural health monitoring(SHM)and maintaining an offshore wind turbine system(OWTS)involve periodic observations,analysis,and repairs of the malfunctioning part(s)of the system.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 0.2018,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 0.7706 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.展开更多
文摘Performing structural health monitoring(SHM)and maintaining an offshore wind turbine system(OWTS)involve periodic observations,analysis,and repairs of the malfunctioning part(s)of the system.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 0.2018,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 0.7706 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.
