一种基于改进贝叶斯分类器的基本信任分配构造方法

苑津莎; 何亚军; 秦英

苑津莎,何亚军,秦英.一种基于改进贝叶斯分类器的基本信任分配构造方法[J].电测与仪表,2014,51(18):.
YUAN Jin-sha,HE Ya-jun,QING Ying.A Basic Probability Assignment Construction Method Based on the Improved Bayesian Classifier[J].Electrical Measurement & Instrumentation,2014,51(18):.

一种基于改进贝叶斯分类器的基本信任分配构造方法

A Basic Probability Assignment Construction Method Based on the Improved Bayesian Classifier

DOI：

中文关键词: 变压器故障诊断基本信任分配函数贝叶斯分类器

英文关键词:power transformer, fault diagnosis, BPA, Bayesian classifier

基金项目:

作者中文名	作者英文名	单位
苑津莎	YUAN Jin-sha	华北电力大学
何亚军	HE Ya-jun	华北电力大学
秦英	QING Ying	华北电力大学

摘要点击次数: 1903

中文摘要:

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,本文以贝叶斯理论与D-S证据理论为基础,提出了一种贝叶斯分类器改进的基本信任分配函数的构造方法。针对贝叶斯分类器单个区域中基本信任分配函数不变的问题,提出了改进方法。实验表明,本文构造的基本信任分配函数正确有效。

英文摘要:

Due to the acquisition of the basic probability assignment (BPA) function in the transformer fault diagnosis by D-S evidence theory, this paper presents a improved Bayesian classifier method which based on the Bayesian theory and D-S evidence theory. The basic probability assignment function is improved in order to solve the problem of the constant probability assignment in the individual areas. The results of the experiment show that the method is effective and accurate.

查看全文查看/发表评论下载PDF阅读器

关闭