摘要
噪声是表征水电机组状态的重要参数,对噪声进行监测是识别机组状态劣化、分析诊断机组故障的有效手段,也是建设数字化、智能化水电站的重要内容。文章结合水电机组的结构特点,从测点布置、数据采集及处理、异常噪声识别方法以及基于噪声的故障诊断模型等方面进行研究,提出了一套较为完整的水电机组噪声在线监测及故障诊断系统的设计方案,可为噪声监测系统的建设提供参考和思路。
Noise is an important parameter that characterizes the status of the hydropower units.Monitoring of noise is an effective means to identify the state of identification of the unit and analyze the failure of the diagnostic crew.It is also an important part of building a digital and intelligent hydropower station.This article combines the structural characteristics of the hydropower units,and conducted research from the measurement point arrangement,data collection and processing,abnormal noise recognition method,and noise-based fault diagnosis model.The design scheme can provide reference and ideas for the construction of the noise monitoring system.
作者
苏江
黄竞
李克强
Su Jiang;Huang Jing;Li Ke-qiang
出处
《电力系统装备》
2023年第1期17-19,共3页
Electric Power System Equipment
关键词
水轮发电机组
噪声
风洞
水车室
故障诊断
water wheel generator set
noise
wind tunnel
water car room
fault diagnosis