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水电机组振动劣化预警模型研究及应用

桂中华 张浩 孙慧芳 张飞

水利学报2018,Vol.49Issue(2):216-222,7.
水利学报2018,Vol.49Issue(2):216-222,7.DOI:10.13243/j.cnki.slxb.20170420

水电机组振动劣化预警模型研究及应用

Research and application of early warning model of vibration deterioration for hydroelectric-generator unit

桂中华 1张浩 2孙慧芳 1张飞1

作者信息

  • 1. 国网新源控股有限公司技术中心,北京 100161
  • 2. 国网浙江省电力公司,浙江杭州 310008
  • 折叠

摘要

Abstract

In recent years,vibration stability problem of hydroelectric-generator unit has becoming increasingly prominent.Traditional method for early warning of vibration is realized by comparing the monitoring value with the limit value of vibration.Problems such as limited application range of operating conditions and single vibration limit exist in traditional method.To solve such problems,the normal operation vibration data of the unit was firstly collected,and the operation condition was refined into several typical conditions according to the active power and water head,by which,the vibration health range of each typical condition was calculated.Finally,the early warning model of vibration deterioration was established.The applying results show that the proposed model can realize the early warning of vibration in different operation conditions for hydroelectric-generator unit by digitization and 3D visualization.Also,it makes use of the historical vibration data for self-learning,which can update the vibration limit for each typical condition and improve the accuracy of early warning.Therefore,the proposed model of vibration is obviously superior to the traditional warning method.

关键词

水电机组/预警模型/振动劣化/自学习

Key words

hydroelectric-generator unit/early warning model/vibration deterioration/self-learning

分类

建筑与水利

引用本文复制引用

桂中华,张浩,孙慧芳,张飞..水电机组振动劣化预警模型研究及应用[J].水利学报,2018,49(2):216-222,7.

基金项目

国家电网公司科技项目(52573015000R,52573016001G) (52573015000R,52573016001G)

水利学报

OA北大核心CSCDCSTPCD

0559-9350

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