期刊文献+

基于多模态感知的变电设备健康状态监测技术研究 被引量:2

Research on Health Status Monitoring Technology for Substation Equipment Based on Multimodal Perception
在线阅读 下载PDF
导出
摘要 随着电网规模的扩大和智能化水平的提升,变电设备的健康状态监测变得尤为重要。本研究旨在探讨基于多模态感知的变电设备健康状态监测技术,通过融合多种传感器数据,实现设备状态的全面、实时、准确监测,重点分析多模态感知技术的原理、方法及其在变电设备监测中的应用,并评估该技术的有效性和可行性。实验结果表明,该技术能显著提升变电设备状态监测的准确性和效率,为电网的安全稳定运行提供了有力保障。 With the expansion of power grid scale and the improvement of intelligence level,the health status monitoring of substation equipment has become particularly important.This study aims to explore the health status monitoring technology of substation equipment based on multimodal perception,by integrating multiple sensor data,comprehensive,real-time,and accurate monitoring of equipment status can be achieved.The research focuses on analyzing the principles,methods,and applications of multimodal sensing technology in substation equipment monitoring,and evaluates the effectiveness and feasibility of this technology.The experimental results show that this technology can significantly improve the accuracy and efficiency of monitoring the status of substation equipment,providing strong guarantees for the safe and stable operation of the power grid.
作者 卢尧 傅慧华 姜春娇 LU Yao;FU Huihua;JIANG Chunjiao(Nantong Power Supply Branch of State Grid Jiangsu Electric Power Co.,Ltd.,Nantong 226000)
出处 《现代制造技术与装备》 2024年第S2期107-109,共3页 Modern Manufacturing Technology and Equipment
关键词 多模态感知 变电设备 健康状态监测 传感器融合 智能化 multimodal perception substation equipment health status monitoring sensor fusion intelligence
  • 相关文献

参考文献4

二级参考文献51

  • 1佘致廷,肖岸文,董璞,曾聪.基于分级变频高转矩软起动器的研究[J].湖南大学学报(自然科学版),2004,31(6):46-50. 被引量:16
  • 2徐甫荣.采用分级交-交变频方法的高转矩软起动器的研制[J].电源技术应用,2005,8(2):14-19. 被引量:11
  • 3李冬辉,段克亮,马跃贤,王波.离散变频软起动过程的若干问题[J].天津大学学报,2007,40(9):1060-1065. 被引量:10
  • 4Ginart A,Esteller R,Maduro A,et al.High starting torque for AC SCR controller[J].IEEE Transactions on Energy Conversion,1999,14(3):553-559.
  • 5阎超.分级变频调压软起动器的设计与仿真研究[D].保定:华北电力大学,2009.
  • 6IEC61400-12-1:2005 Wind turbines-Part 12-1 :Power performance measure-ments of electricity producing wind turbines [S].
  • 7IEC61400-11:2002, Wind turbine generator systems-a- coustic noise measurement techniques(2009)[S].
  • 8叶杭冶.风力发电机组的控制技术[M].北京:机械工业出版社.2011.144-145.
  • 9Zaer A, McArthur SDJ, Infield DG, et al.Online wind tur- bine fault detection through automated SCADA data anal- ysis[J].Wind Energy, 2009,12 (6) : 74-93.
  • 10Hameed Z, Hong Y S, Cho Y M, et al. Condition monitor- ing and fault detection of wind turbines and related algo- rithms : a review[J].Renewable Energy Review, 2009, 13 (1):1-39.

共引文献14

同被引文献7

引证文献2

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