基于全波整流频谱分析的水轮机多维气蚀监测系统及应用  被引量:3

Multidimensional cavitation monitoring system based on full-wave rectified spectrum analysis and its application

在线阅读下载全文

作  者:于德荣[1] 尉青连 王永强[1] 

机构地区:[1]长春工程学院能源动力学院,吉林长春130012 [2]白山水电厂,吉林桦甸132044

出  处:《武汉大学学报(工学版)》2010年第1期112-115,共4页Engineering Journal of Wuhan University

基  金:吉林省教育厅科技项目(编号:2008208)

摘  要:建立了一种以多维气蚀分析法为基础,利用全波整流分析法提取气蚀特征信号为手段的水轮机气蚀综合监测系统.该系统通过合理布置大量传感器获取与气蚀相关的多维参数的特征信号,利用全波整流频谱分析信号并多元联合求解得到参数间的函数关系,最后量化它们对气蚀强度的影响.经白山水电厂4号机组测试和应用,证明该系统稳定可靠,能为水电厂的状态检修和经济运行提供有力依据.A cavitation monitoring system of hydraulic turbines is developed based on multidimensional cavitation analysis and using full-wave rectified spectrum analysis method to extraction cavitation characteristic signals to make a comprehensive analysis of turbine cavitation.The system employs a large number of sensors to acquire the characteristic signals of multi-parameter related cavitation,and then gets the function of parameters' relationship through united solving.Finally,quantify the impact on the effects of cavitation intensity by all the factors.The system is applied to the unit No.4 of Baishan Hydropower Plant;it is proved that the system is stable and reliable so as to provide a strong basis for condition-based maintenance and economic operation of hydropower plants.

关 键 词:气蚀 水轮机 多维 全波整流 监测系统 

分 类 号:TP277[自动化与计算机技术—检测技术与自动化装置] TK730.8[自动化与计算机技术—控制科学与工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象