摘要
状态检测技术是风电机组故障诊断与运营维护最为重要的技术手段。对风电机组进行状态检测能够掌握机组的健康状态及发电性能,以便及时制定维护维修策略和采取提升发电性能的技改措施、减少机组停机时间、避免重大故障发生、节省维修成本、提高机组发电能力。因此,在风电机组状态评价和维护维修中,针对状态检测技术进行了大量的研究和应用。文章从风电机组状态检测特点、机组类型和故障特点3方面进行归纳总结;从风电机组健康状态检测和性能状态检测两方面,综述了近年风电机组状态检测的研究现状和重要的研究成果;探讨了目前风电机组状态检测面临的问题,从状态检测设备和软件集成化、状态检测智能化和标准化等方面解决所面临的问题。文章指出,故障机理分析、多状态检测融合技术和统一平台的综合健康检测评估系统是风电机组状态检测发展的新趋势。
Condition Detection Technology is considered as one of the most effective methods of wind turbine fault diagnosis and operational maintenance. On one hand, it can predict wind turbine health condition and power generation ability beforehand, through which maintenance strategies and technological modification methods can be set up accordingly in time. Thus it can reduce shutdown time, as well as preventing major faults and saving maintenance cost. On the other hand, wind turbine electricity generation can also be enhanced by condition detection. By the above reasons condition detection technology is experiencing extensive research and widespread application in the area of wind turbines. This paper summarizes the research status and major achievement of wind turbine condition detection characteristics, variant turbine types and fault features, in the view of both wind turbines＇ health and performance condition detection. Current problems are discussed and solutions are given by integration, intelligentization and standardization of condition detection appliances and software. The paper also proposes that multi-condition detection integration technology, fault mechanism analysis as well as comprehensive health detection evaluation system with unified platform will form the new development trend of next-generation wind turbine condition detection.
出处
《可再生能源》
CAS
北大核心
2017年第10期1551-1557,共7页
Renewable Energy Resources
基金
国家自然科学基金资助项目(51305135)
中央高校基本科研业务费专项资金(2015ZD15)
关键词
状态检测
故障诊断
数据融合
故障预警
综合评价
condition detection
fault diagnosis
data integration
fault warning
comprehensive evaluation
