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基于改进灰色关联分析的变压器故障识别

FAULT DIAGNOSIS OF POWER TRANSFORMER BASED ON IMPROVED GREY RELATION ANALYSIS

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【作者】 吕干云程浩忠翟海保董立新

【Author】 Lü Gan-yun, CHENG Hao-zhong,ZHAI Hai-bao, DONG Li-xin (Department of Electrical Engineering, Shanghai Jiaotong University, Shanghai 200030, China)

【机构】 上海交通大学电气工程系上海交通大学电气工程系 上海200030上海200030上海200030

【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。

【Abstract】 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.

【基金】 高等学校优秀青年教师科研奖励计划[ZDXM03006]
  • 【文献出处】 中国电机工程学报 ,Proceedings of the Csee , 编辑部邮箱 ,2004年10期
  • 【分类号】TM411
  • 【被引频次】82
  • 【下载频次】1040
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