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中文摘要: 根据电网的线路模型,建立贝叶斯网络对元件故障进行诊断.该方法能对不确定的知识和规则进行推理,根据实际的电网故障样本数据进行训练,不断更新条件概率表的参数,以提高电网故障诊断的准确率.
Abstract:According to the routine model of power grid，the Bayesian network is established for the various faults of components and the fault diagnosis is carried out． The method can infer from the uncertain knowledge and rules，and train according to the data of real faults samples． The parameters of the condition probability table can be updated continuously，so the accuracy of the faults diagnosis of the power grid will be improved．
keywords: Bayesian network power grid fault diagnosis
文章编号：20110321 中图分类号： 文献标志码：
基金项目:上海高校培养优秀青年教师科研专项基金(sdl09013)
| 作者 | 单位 | |
| 史小梅 | shixmei@sohu. Com. | |
| 王昊 |
| Author Name | Affiliation | |
| SHI Xiao-mei | shixmei@sohu. Com. | |
| WANG Hao |
引用文本：
史小梅,王昊.贝叶斯网络的电网故障诊断应用[J].上海电力大学学报,2011,27(3):301-303,308.
SHI Xiao-mei,WANG Hao.The Application of Bayesian Network in the Fault Diagnosis of Power Grid[J].Journal of Shanghai University of Electric Power,2011,27(3):301-303,308.
史小梅,王昊.贝叶斯网络的电网故障诊断应用[J].上海电力大学学报,2011,27(3):301-303,308.
SHI Xiao-mei,WANG Hao.The Application of Bayesian Network in the Fault Diagnosis of Power Grid[J].Journal of Shanghai University of Electric Power,2011,27(3):301-303,308.