首页 | 本学科首页   官方微博 | 高级检索  
     

基于状态特征标识的水电机组运行数据诊断分析
引用本文:侯纪坤,张雷,王勇劲. 基于状态特征标识的水电机组运行数据诊断分析[J]. 西北水电, 2021, 0(1): 65-67
作者姓名:侯纪坤  张雷  王勇劲
作者单位:1.中国电建集团西北勘测设计研究院有限公司;2.西安电力高等专科学校;3.华电电力科学研究院有限公司
摘    要:运用状态特征标识的方法,对水电机组海量状态存储数据进行一定规则标识;采用故障树诊断方法,对机组实时运行状态进行精确诊断,解决了无法有效利用状态监测数据机组故障诊断的问题,促进了机组的优化运行,提升了水电机组运行诊断分析水平.

关 键 词:水电机组  大数据分析  故障特征  状态诊断

Diagnosis and Analysis of Operating Data of Hydropower Generating Unit Based on Status Feature Identification
HOU Jikun,ZHANG Lei,WANG Yongjin. Diagnosis and Analysis of Operating Data of Hydropower Generating Unit Based on Status Feature Identification[J]. Northwest Water Power, 2021, 0(1): 65-67
Authors:HOU Jikun  ZHANG Lei  WANG Yongjin
Affiliation:(Powerchina Northwest Engineering Corporation Limited,Xi'an 710065,China;Xi'an Electric Power College,Xi'an 710032,China;Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030,China)
Abstract:Using the method of status feature identification,the mass state storage data of hydropower generating unit is identified by certain rules;the fault tree diagnosis method is used to accurately diagnose the real-time operating status of the unit,which effectively solves the problem that the status monitoring data of unit cannot be efficiently used to diagnose unit fault,promotes the optimal operation of the unit,and improve the diagnostic analysis of the hydropower unit operation.
Keywords:hydropower generating unit  big data analysis  fault characteristics  status diagnosis
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号