基于大数据的水轮发电机组振动区修复  

Vibration Zone Restoration of Hydrogenerator based on Big Data

作　　者：邱志勤 QIU Zhiqin(Yalong River Hydropower Development Company,Chengdu 610051,China)

机构地区：[1]雅砻江流域水电开发有限公司,四川省成都市610051

出　　处：《水电与抽水蓄能》2022年第6期90-94,共5页Hydropower and Pumped Storage

基　　金：国家自然科学基金项目“基于大数据技术的雅砻江流域水电站安全研究”(U1965106)。

摘　　要：针对二滩水电站各机组在靠近振动区运行时工况欠佳问题,利用大数据分析方法,借助R语言数据分析平台,对二滩水电站水轮发电机组稳定运行数据进行了深度地挖掘和分析,界定了机组稳态运行工况下各部位振动幅值边界,并对机组振动区进行了精准修复,大大提升了机组的运行可靠性,保证了机组的长期安全稳定运行。Aiming at the poor working conditions of each unit of Ertan hydropower station near the vibration zone,this paper deeply analyzes the stable operation data of hydrogenerator of Ertan Hydropower Station by using big data analysis method and R language data analysis platform.The vibration amplitude boundary of each part under the steady operation condition of the unit is defined,and the vibration area of the unit is precisely repaired,which greatly improves the operation reliability of the unit and ensures the long-term safe and stable operation of the unit.

关 键 词：大数据 振动区 R语言 二滩水电站 可靠性 

分 类 号：TV736[水利工程—水利水电工程]