东北大学学报(自然科学版) ›› 2013, Vol. 34 ›› Issue (3): 317-321.DOI: -

• 信息与控制 • 上一篇    下一篇

基于模糊AHP变压器运行状态判断矩阵建立方法

张翠玲,王大志,王安娜,刘晓琴   

  1. (东北大学信息科学与工程学院,辽宁沈阳110819)
  • 收稿日期:2012-06-20 修回日期:2012-06-20 出版日期:2013-03-15 发布日期:2013-01-26
  • 通讯作者: 张翠玲
  • 作者简介:张翠玲(1971-),女,宁夏石嘴山人,东北大学博士研究生;王大志(1963-),男,辽宁锦州人,东北大学教授,博士生导师;王安娜(1956-),女,辽宁鞍山人,东北大学教授,博士.
  • 基金资助:
    国家自然科学基金资助项目(61050006);教育部少数民族高级骨干人才培养基金资助项目(教民[2008]8).

Establishment of Judgment Matrices for the Condition Assessment of the Power Transformer Based on Fuzzy AHP

ZHANG Cuiling, WANG Dazhi, WANG Anna, LIU Xiaoqin   

  1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2012-06-20 Revised:2012-06-20 Online:2013-03-15 Published:2013-01-26
  • Contact: ZHANG Cuiling
  • About author:-
  • Supported by:
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摘要: 针对变压器的故障原因、故障机理以及故障征兆之间存在随机性和不确定性,运用层次分析法(AHP)建立了变压器运行状态的模糊综合评价影响因素分析模型;利用AHP的一致性判断矩阵直接转换到模糊对称矩阵,得到了不同的运行状态阶段影响因素指标相对于变压器运行状态的组合权重.这种方法不仅简化了模糊综合评判方法的对称矩阵的建立,也使变压器运行状态的评价准则更满足工程实际的要求.实例表明,该方法将层次分析法和模糊综合评判方法相结合,可以对各影响因素进行权衡分析,从而有效地对变压器运行状态作出综合评价.

关键词: 层次分析法, 模糊综合评判, 电力变压器, 综合评价, 互补判断矩阵

Abstract: Due to the randomness and uncertainty which are existed in the transformer fault, the fault symptoms and the fault mechanism, an influence factor fuzzy comprehensive evaluation model of transformer condition was established using analytical hierarchy process (AHP). A method that converts the consistency judgment matrices of AHP to a fuzzy symmetric matrix was proposed in order to get combination weight of influence factors in the transformer condition. This method could be used to simplify establishment of symmetric matrices of fuzzy comprehensive evaluation method. And it could be also used in giving an evaluation criteria for the power transformer which better met the actual requirements. Thus, the effectiveness of the proposed method in transformer fault diagnose was verified by experimental results.

Key words: analytical hierarchy process(AHP), fuzzy comprehensive assessment (FCA), power transformer, comprehensive evaluation, complementary judgment matrices

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