摘要
针对水电站设备故障诊断与预测问题,提出了基于大数据技术的研究方法。第一,介绍了大数据技术的发展及其在水电站设备故障诊断与预测中的重要性。第二,研究了大数据与水电站设备的关联性,包括水电站设备的一般性能和可能出现的故障类型,以及大数据技术在水电站设备运行监测中的应用。第三,探讨了大数据技术在水电站设备故障诊断和预测上的应用,包括数据收集和预处理、故障模式与效应分析,以及基于大数据的故障诊断策略和技术。第四,介绍了基于历史数据和实时数据的故障预测模型、基于机器学习的故障预测技术,以及故障预测结果的验证和评价方法。第五,通过典型的应用案例研究和分析,验证了大数据技术在水电站设备故障诊断与预测中的有效性。
This article proposes a research method based on big data technology for the diagnosis and prediction of equipment faults in hydropower stations.Firstly,it introduces the development of big data technology and its im-portance in the diagnosis and prediction of equipment faults in hydropower stations.Secondly,it studies the correla-tion between big data and the equipment of hydropower stations,including the general performance and possible types of faults of the equipment of hydropower stations,and the application of big data technology in the opera-tional monitoring of the equipment of hydropower stations.Thirdly,it explores the application of big data technol-ogy in the diagnosis and prediction of equipment faults in hydropower stations,including data collection and pre-processing,the analysis of fault modes and effects,and fault diagnosis strategies and technologies based on big data.Fourthly,it introduces the fault prediction model based on historical data and real-time data,fault prediction tech-nologies based on machine learning,and methods for verifying and evaluating fault prediction results.Fifthly,through the study and analysis of typical application cases,it verifies the effectiveness of big data technology in the diagnosis and prediction of equipment faults in hydropower stations.
作者
代荣艳
徐册利
DAI Rongyan XU Cei(Miaowei Gongguoqiao Hydropower Plant,Huaneng Lancang River Hydropower Inc.,Dali,Yunnan Province,672700 China)
出处
《科技资讯》
2024年第5期36-38,共3页
Science & Technology Information
关键词
大数据技术
水电站设备
故障诊断
故障预测
Big data technology
Hydropower station equipment
Fault diagnosis
Fault prediction
