基于大数据的水轮发电机组运行振动分析  

Analysis of Operation Vibration of Hydro-generator Units Based on Big Data

作　　者：邱志勤 QIU Zhiqin(Yalong River Hydropower Development Co.,Ltd.,Chengdu 610051,Sichuan,China)

机构地区：[1]雅砻江流域水电开发有限公司,四川成都610051

出　　处：《水力发电》2021年第12期46-49,83,共5页Water Power

基　　金：国家自然科学基金项目(U1965106)。

摘　　要：通过对二滩水电站机组的运行振动大数据进行深度挖掘,找出机组振动稳定性方面的运行规律。介绍了基于大数据分析发现机组运行规律和机组运行振动特性的方法,提出了一种使用R语言对机组运行大数据进行挖掘、整理和分析的方法,结合分析成果对电站机组的负荷调控和机组检修提出了建设性的建议,有利于提升电厂对水轮机组设备的运行管理水平。Based on the deep mining of big data on the operation vibration of hydro-generator units in Ertan Hydropower Station,the operation rules of the vibration stability of the units are found out.A method for discovering unit operation rules and unit operation vibration characteristics based on big data analysis is introduced,and a method for mining,sorting and analyzing unit operation big data using R language is proposed.Combining the analysis results,some constructive suggestions on unit load control and unit overhaul are put forward,which will improve the operation and management level of power plant on hydro-generator units.

关 键 词：机组 大数据 运行分析 R语言 振动特性 二滩水电站 

分 类 号：TM312[电气工程—电机]