文章摘要
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
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
投稿时间:2017-05-04  
DOI:10.13243/j.cnki.slxb.20170420
中文关键词: 水电机组  预警模型  振动劣化  自学习
英文关键词: hydroelectric-generator unit  early warning model  vibration deterioration  self-learning
基金项目:国家电网公司科技项目(52573015000R,52573016001G)
作者单位
桂中华 国网新源控股有限公司 技术中心, 北京 100161 
张浩 国网浙江省电力公司, 浙江 杭州 310008 
孙慧芳 国网新源控股有限公司 技术中心, 北京 100161 
张飞 国网新源控股有限公司 技术中心, 北京 100161 
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中文摘要:
      近年来运行中的水电机组振动稳定性问题日益突出,传统振动预警方法主要通过振动监测值与振动限值的简单比较来实现,存在适用工况范围有限,限值单一的不足。针对传统预警方法的不足,首先收集机组健康状态时的振动数据,并按照功率和水头将机组运行工况细化为若干典型工况,然后求取各典型工况下机组振动健康区间,最终建立水电机组振动劣化预警模型。实例结果表明,该模型能采用数字化和三维可视化两种方式完成水电机组不同工况的振动预警,同时能利用振动历史数据进行自学习,修正各典型工况的振动限值,提高振动预警的准确性,该模型明显优于传统振动预警方法。
英文摘要:
      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.
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