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| Improved evidence theory and its application in fault diagnosis of power system |
| LI Ling-Ling1,2, JING Li-Ting1, MA Dong-Juan1, LI Zhi-Gang1 |
1.ProvinceMinistry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability，Hebei University of Technology， Tianjin 300130， China;
2.Electrical and Automation Engineering Institute， Tianjin University， Tianjin 300072， China |
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Abstract A new Dempster-Shafer evidence combination rule based on the Hamming distance was proposed aiming at solving the fusion problem of highly conflicting evidence. At first， we judged the evidence conflict degree according to the size of the conflict coefficient， the Hamming distance was used to determine the similarity to distinguish each of evidence， and the weight was given to the evidence. Then the original basic probability distribution function was redistributed， finally the more reasonable the syncretic result was obtained. At last, the data fusion method was applied to power system fault diagnosis example， the calculation result indicated that the method was effective and reasonable， and the conclusion was more actual．
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Published: 28 December 2012
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改进证据理论及其在电力系统故障诊断中的应用
针对D-S证据理论中高度冲突的证据难以融合的问题，提出一种基于海明距离的证据合成规则.首先根据冲突系数的大小判断证据冲突程度，利用海明距离确定的相似度区分每条证据，并赋予权重，然后对原始基本信度分配函数进行重新分配，最终得到更加合理的合成结果.将该数据融合方法用于电力系统的故障诊断实例中，表明该方法合理有效，计算结果更符合实际.
关键词：
证据理论,
海明距离,
电力系统,
故障诊断
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