摘要
引入大数据分析方法对黄河上游流域各水电机组健康状况进行分析,将机组海量监测数据作为基础数据,开展数据状态评价、振动及摆度频谱分析、振动及摆度历史趋势分析、历年数据对比及主要特征分布等多尺度大数据分析研究,以评价机组健康状态及性能指标,为机组检修提供合理化建议。
The Big data analysis is introduced in this paper to analyze the health condition of the hydropower generating units in the upper stream of the Yellow river. Based on the mass monitoring data of the units,the analysis given in this paper covers condition analysis,vibration and swing spectrum analysis,trend analysis,historical data comparison analysis and main characteristics distribution analysis and other multi-dimension data analysis. The result can be used to assess the unit health condition and operation performance and to give effective suggestions and advices for the unit＇s repair and maintenance work.
出处
《青海电力》
2015年第3期44-47,57,共5页
Qinghai Electric Power
关键词
水电机组
大数据分析
故障特征
状态诊断
hydropower generating unit
big data analysis
fault features
condition diagnosis
