期刊文献+

基于人工智能技术的风机健康诊断研究

Research on Fan Health Diagnosis Based on Artificial Intelligence Technology
下载PDF
导出
摘要 风机健康诊断系统的设定是维系整个风力发电机构运行的基本要素,通过系统功能性的诊断可以查证出在当前时间段或者是后续工作周期内所呈现出的健康指标是否满足系统运行需求,可为后续运维工作的提供数据支撑。基于此文章以人工智能技术为切入点,对风机健康诊断系统进行探讨,仅供参考。 The setting of the wind turbine health diagnosis system is the basic element that maintains the operation of the entire wind power generation organization.Through the diagnosis of the system functionality,it can be verified whether the health indicators presented in the current time period or in the subsequent work cycle meet the system operation requirements.,Which can provide data support for subsequent operation and maintenance work.Based on this article,using artificial intelligence technology as the starting point,the fan health diagnosis system is discussed for reference only.
作者 刘文斌 王刚 Liu Wenbin;Wang Gang(China Power Construction Group Zhongnan Survey and Design Institute Co.,Ltd.,Changsha Hunan,410014;State Power Investment Corporation Inner Mongolia Energy Co.,Ltd.New Energy Department,Tongliao Inner Mongolia,028000)
出处 《电子测试》 2021年第20期113-116,共4页 Electronic Test
关键词 人工智能 风机 数据 artificial intelligence wind turbine data
  • 相关文献

参考文献6

二级参考文献29

共引文献39

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部