检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:吕干云[1] 程浩忠[1] 翟海保[1] 董立新[1]
出 处:《中国电机工程学报》2004年第10期121-126,共6页Proceedings of the CSEE
基 金:高等学校优秀青年教师科研奖励计划[ZDXM03006]
摘 要:提出了一种新的基于改进灰色关联分析的变压器故障识别方法。在研究讨论了传统灰色关联分析理论的基础上,提出了群灰色关联度概念,并给出了它的计算方法。同传统的灰色类关联分析相比,该改进灰色关联分析具有两个优点:①提高灰色关联分析的准确性和可靠性;②降低了对单个参考信号的依赖性,扩大了灰色关联分析的应用范围。最后将该方法应用于变压器故障识别。识别结果显示,改进的方法比传统的灰色关联分析效果更佳、更可靠。该方法还可以广泛地应用于其他领域。An improved grey relation analysis method is brought forward which is based on the concept of Group Relation Index. Its definition and the calculating process are proposed in this paper. In contrast to the traditional grey relation analysis, the improved grey relation analysis has two advantages over the traditional grey relation analysis: ① Having a much broader range of its application; ② Greatly strengthened the veracity and reliability of relation analysis, while the improved method is applied to the fault diagnosis of power transformer. The analysis result shows that the improved method has a much better effect than the traditional grey relation analysis, and the improved method can also be applied to many other applications in a wide range.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.28