{"title":"风电系统智能维护的进展与趋势","authors":"Liu Zhansheng , Zheng Jiarong , Zhang Qingwen , Xu Ruilong","doi":"10.1016/j.seta.2025.104398","DOIUrl":null,"url":null,"abstract":"<div><div>Intelligent maintenance of wind turbine systems, as a complex interdisciplinary task, is less well documented in terms of related comprehensive research progress. In this study, we applied bibliometric methods to measure and analyse 1754 wind turbine systems maintenance literatures, and screened 421 intelligent maintenance core literatures to carry out content analysis, so as to systematically sort out the development lineage of this field. The study shows that the intelligent maintenance of wind turbine systems has moved from the stage of data-driven and algorithmic optimisation to the stage of intelligent and integrated maintenance. Through the systematic analysis of maintenance objects, tasks, focus, strategies, key theories and research status, the research framework of intelligent maintenance of wind turbine systems is constructed, and a systematic knowledge system is formed. It is also found that the field currently faces challenges in data governance, model construction and system integration. Finally, the future research direction is elaborated from the perspective of synergistic innovation of technology, theory, methodology and supporting system, which provides reference suggestions for promoting the further development of intelligent maintenance of wind turbine systems.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"80 ","pages":"Article 104398"},"PeriodicalIF":7.0000,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advances and trends in intelligent maintenance for wind turbine systems\",\"authors\":\"Liu Zhansheng , Zheng Jiarong , Zhang Qingwen , Xu Ruilong\",\"doi\":\"10.1016/j.seta.2025.104398\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Intelligent maintenance of wind turbine systems, as a complex interdisciplinary task, is less well documented in terms of related comprehensive research progress. In this study, we applied bibliometric methods to measure and analyse 1754 wind turbine systems maintenance literatures, and screened 421 intelligent maintenance core literatures to carry out content analysis, so as to systematically sort out the development lineage of this field. The study shows that the intelligent maintenance of wind turbine systems has moved from the stage of data-driven and algorithmic optimisation to the stage of intelligent and integrated maintenance. Through the systematic analysis of maintenance objects, tasks, focus, strategies, key theories and research status, the research framework of intelligent maintenance of wind turbine systems is constructed, and a systematic knowledge system is formed. It is also found that the field currently faces challenges in data governance, model construction and system integration. Finally, the future research direction is elaborated from the perspective of synergistic innovation of technology, theory, methodology and supporting system, which provides reference suggestions for promoting the further development of intelligent maintenance of wind turbine systems.</div></div>\",\"PeriodicalId\":56019,\"journal\":{\"name\":\"Sustainable Energy Technologies and Assessments\",\"volume\":\"80 \",\"pages\":\"Article 104398\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Energy Technologies and Assessments\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213138825002292\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Technologies and Assessments","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213138825002292","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Advances and trends in intelligent maintenance for wind turbine systems
Intelligent maintenance of wind turbine systems, as a complex interdisciplinary task, is less well documented in terms of related comprehensive research progress. In this study, we applied bibliometric methods to measure and analyse 1754 wind turbine systems maintenance literatures, and screened 421 intelligent maintenance core literatures to carry out content analysis, so as to systematically sort out the development lineage of this field. The study shows that the intelligent maintenance of wind turbine systems has moved from the stage of data-driven and algorithmic optimisation to the stage of intelligent and integrated maintenance. Through the systematic analysis of maintenance objects, tasks, focus, strategies, key theories and research status, the research framework of intelligent maintenance of wind turbine systems is constructed, and a systematic knowledge system is formed. It is also found that the field currently faces challenges in data governance, model construction and system integration. Finally, the future research direction is elaborated from the perspective of synergistic innovation of technology, theory, methodology and supporting system, which provides reference suggestions for promoting the further development of intelligent maintenance of wind turbine systems.
期刊介绍:
Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.