摘要
作为电力转化枢轴装置的风力发电机,其平稳、高效且持久的运行效能对保障能源连续性和节约维护开支具有决定性影响。鉴于此,文章深入探讨了风力发电机的关键构造元件、前沿的状态监测技术手段,以及故障诊断与预防控制措施,并构建了一种基于微型智能技术的实时诊断体系。实验结果显示,与传统方法相比,文章提出的监测方法在解决风力发电机故障方面效果比较明显,可为相关领域的实践者提供有益的数据。
As a pivot device for power conversion,wind turbines have a decisive impact on ensuring energy continuity and saving main-tenance costs due to their smooth,efficient,and long-lasting operational efficiency.In view of this,this article deeply explores the key structural components of wind turbines,cutting-edge monitoring technology,as well as fault diagnosis and preventive control,and constructs a real-time diagnostic system based on micro intelligent technology.The monitoring method proposed in this paper demonstrates significant effectiveness in fault diagnosis of wind turbines.
作者
王仲
姜娇
WANG Zhong;JIANG Jiao(School of Mechanical Engineering,Liaoning Institute of Science and Technology,Benxi Liaoning 117004,China)
出处
《辽宁科技学院学报》
2024年第5期40-44,59,共6页
Journal of Liaoning Institute of Science and Technology
基金
辽宁省教育厅高等学校科技创新团队项目“风力发电机运行状态衰退过程抑制与状态识别”(2024JYTKYTD-04)。
关键词
风力发电机
状态监测
故障诊断
Wind turbine
Status monitoring
Fault diagnosis