一种基于改进贝叶斯分类器的基本信任分配构造方法
针对D-S证据理论在应用于变压器故障诊断时基本信任分配的问题,本文提出了一种基于改进贝叶斯分类器的基本信任分配函数的构造方法,该方法根据不同的属性值来确定满足条件的取值区间,克服了贝叶斯分类器同一区域内基本信任分配函数无法变化的问题。实验表明,构造的基本信任分配函数正确有效。...
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Published in | 电测与仪表 Vol. 51; no. 18; pp. 34 - 38 |
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Main Author | |
Format | Journal Article |
Language | Chinese |
Published |
华北电力大学,河北保定,071003
2014
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Subjects | |
Online Access | Get full text |
ISSN | 1001-1390 |
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Abstract | 针对D-S证据理论在应用于变压器故障诊断时基本信任分配的问题,本文提出了一种基于改进贝叶斯分类器的基本信任分配函数的构造方法,该方法根据不同的属性值来确定满足条件的取值区间,克服了贝叶斯分类器同一区域内基本信任分配函数无法变化的问题。实验表明,构造的基本信任分配函数正确有效。 |
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AbstractList | TM411; 针对D-S证据理论在应用于变压器故障诊断时基本信任分配的问题,本文提出了一种基于改进贝叶斯分类器的基本信任分配函数的构造方法,该方法根据不同的属性值来确定满足条件的取值区间,克服了贝叶斯分类器同一区域内基本信任分配函数无法变化的问题.实验表明,构造的基本信任分配函数正确有效. 针对D-S证据理论在应用于变压器故障诊断时基本信任分配的问题,本文提出了一种基于改进贝叶斯分类器的基本信任分配函数的构造方法,该方法根据不同的属性值来确定满足条件的取值区间,克服了贝叶斯分类器同一区域内基本信任分配函数无法变化的问题。实验表明,构造的基本信任分配函数正确有效。 |
Author | 苑津莎 何亚军 秦英 |
AuthorAffiliation | 华北电力大学,河北保定071003 |
AuthorAffiliation_xml | – name: 华北电力大学,河北保定,071003 |
Author_FL | HE Ya-jun YUAN Jin-sha QIN Ying |
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Author_xml | – sequence: 1 fullname: 苑津莎 何亚军 秦英 |
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Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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DocumentTitleAlternate | An Improved Bayesian Classifier Based Basic Probability Assignment Construction Method |
DocumentTitle_FL | An Improved Bayesian Classifier Based Basic Probability Assignment Construction Method |
EndPage | 38 |
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Keywords | 变压器 power transformer fault diagnosis BPA 故障诊断 贝叶斯分类器 基本信任分配函数 Bayesian classifier |
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Notes | power transformer, fault diagnosis, BPA, Bayesian classifier 23-1202/TH YUAN Jin-sha, HE Ya-jun, QIN Ying (North China Electric Power University, Baoding 071003, Hebei, China) Due to the problem of the basic probability assignment (BPA) function produced by D-S evidence theory being adopted in the transformer fault diagnosis, an improved Bayesian classifier based method has been proposed in this paper, which will confirm the suitable interval according to the different attribute values so as to solve the problem that the basic probability assignment is invariable in the individual areas. Experimental results varify the effectiveness and accuracy. |
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Snippet | 针对D-S证据理论在应用于变压器故障诊断时基本信任分配的问题,本文提出了一种基于改进贝叶斯分类器的基本信任分配函数的构造方法,该方法根据不同的属性值来确定满足条件的取值区间,克服了贝叶斯分类器同一区域内基本信任分配函数无法变化的问题。实验表明,构造的基本信任分配函数正确有效。 TM411; 针对D-S证据理论在应用于变压器故障诊断时基本信任分配的问题,本文提出了一种基于改进贝叶斯分类器的基本信任分配函数的构造方法,该方法根据不同的属性值来确定满足条件的取值区间,克服了贝叶斯分类器同一区域内基本信任分配函数无法变化的问题.实验表明,构造的基本信任分配函数正确有效. |
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StartPage | 34 |
SubjectTerms | 变压器 基本信任分配函数 故障诊断 贝叶斯分类器 |
Title | 一种基于改进贝叶斯分类器的基本信任分配构造方法 |
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