以变电站关键电气设备为研究对象,将其噪声信号和深度学习算法相融合,构建基于深度学习的变电站关键电气设备噪声声纹识别系统,以期实现超高压变电站噪声等级评估和关键电气设备故障诊断。研究内容包括:
(1)变电站噪声采集系统。
(2)电气设备噪声数据处理技术。
(3)电气设备噪声声纹识别技术。
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
E-Mail:
Date of Employment:2003-04-01
School/Department:School of Automation and Electrical Engineering
Administrative Position:professor/Doctoral supervisor
Education Level:With Certificate of Graduation for Doctorate Study
Business Address:Room 307 School of Automation and Electrical Engineering No. 88, Anning West Road, Anning District, Lanzhou City
Gender:Female
Degree:Doctoral degree
Status:Employed
Academic Titles:professor
Alma Mater:Lanzhou Jiaotong University
Discipline:Electrical Power System and Automation
Gender:Female
Education Level:With Certificate of Graduation for Doctorate Study
Alma Mater:Lanzhou Jiaotong University
以变电站关键电气设备为研究对象,将其噪声信号和深度学习算法相融合,构建基于深度学习的变电站关键电气设备噪声声纹识别系统,以期实现超高压变电站噪声等级评估和关键电气设备故障诊断。研究内容包括:
(1)变电站噪声采集系统。
(2)电气设备噪声数据处理技术。
(3)电气设备噪声声纹识别技术。