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基于轴承座振动信号检测的轴系扭振监测方法实验研究
引用本文:周子健,李录平,徐鼎杰,王定,陈兴云.基于轴承座振动信号检测的轴系扭振监测方法实验研究[J].汽轮机技术,2020,62(2):107-111.
作者姓名:周子健  李录平  徐鼎杰  王定  陈兴云
作者单位:长沙理工大学能源与动力工程学院,长沙410114;长沙理工大学能源与动力工程学院,长沙410114;长沙理工大学能源与动力工程学院,长沙410114;长沙理工大学能源与动力工程学院,长沙410114;长沙理工大学能源与动力工程学院,长沙410114
基金项目:中国南方电网公司科技项目“大型汽轮发电机组轴系支撑系统动力特性研究”;长沙理工大学项目“汽轮发电机组轴系扭振在线监测系统开发”的资助,项目号CX2018SS12。
摘    要:提出了一种基于轴承座垂直方向振动信号检测的轴系扭振监测与诊断的新方法,建立了扭振监测与诊断的理论模型,给出了轴系扭振故障存在与否的诊断准则。实验结果表明:该方法在保证轴系扭振监测实时性的同时,能够准确、有效地判别出冲击载荷下的扭振故障,能够清楚地显示轴系的前两阶扭振固有频率上的振动响应分量,且验证了所提出的扭振故障特征参数在很宽的转速范围具有良好的稳定性。研究结果为汽轮发电机组轴系扭振故障在线监测提供了一种新的有效方法。

关 键 词:汽轮发电机组  轴系扭振  监测方法  理论模型

Experimental Research on Torsional Vibration Monitoring Method of Shafting Based on Bearing Seating Vibration Signal Detection
ZHOU Zi-jian,LI Lu-ping,XU Ding-jie,WANG Ding,CHEN Xing-yun.Experimental Research on Torsional Vibration Monitoring Method of Shafting Based on Bearing Seating Vibration Signal Detection[J].Turbine Technology,2020,62(2):107-111.
Authors:ZHOU Zi-jian  LI Lu-ping  XU Ding-jie  WANG Ding  CHEN Xing-yun
Affiliation:(School of Energy and Power Engineering,Changsha University of Science and Technology,Changsha 410114,China)
Abstract:In this paper,a new method for monitoring and diagnosing torsional vibration of shafting based on vertical vibration signal detection of bearing seating was presented,a theoretical model for the monitoring and fault diagnosis of the torsional vibration was established,and the diagnosis criterion of torsional vibration fault of shafting was given.The experimental results show that the method can not only ensure the shafting torsional vibration monitoring in real time,but also be able to accurately and effectively identify torsional vibration failure under impact load,can clearly show the shaft on the first two order natural frequency of torsional vibration of the vibration response of the component,and verify the fault characteristic parameters of torsional vibration proposed in a wide speed range having a good stability.The results obtained in this paper provide a new and effective method for on-line monitoring of torsional vibration of shaft system of turbo-generator set.
Keywords:turbo-generator set  torsional vibration of shafting  monitoring methods  theoretical model
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