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bayesian network
相关语句
  贝叶斯网络
    INTELLIGENT FAULT DIAGNOSIS FOR POWER TRANSFORMER BASED ON BAYESIAN NETWORK AND DGA
    基于贝叶斯网络和DGA的变压器故障诊断
短句来源
    Reliability evaluation for HVDC systems based on Bayesian network with multi-state nodes
    基于多状态节点贝叶斯网络的HVDC系统可靠性评估
短句来源
    Novel Method for Transformer Faults Integrated Diagnosis Based on Bayesian Network Classifier
    基于贝叶斯网络分类器的变压器综合故障诊断方法
短句来源
    A NEW FAULT DIAGNOSIS APPROACH OF POWER SYSTEM BASED ON BAYESIAN NETWORK AND TEMPORAL ORDER INFORMATION
    基于贝叶斯网络及信息时序属性的电力系统故障诊断方法
短句来源
    Power System Fault Diagnosis Approach Based on Bayesian Network
    基于贝叶斯网络的电力系统故障诊断方法
短句来源
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  “bayesian network”译为未确定词的双语例句
    Furthermore, according to the trait of Bayesian network approach, a MAS fault diagnosis system structure is designed.
    同时在所提出方法的特点基础上设计了基于多代理系统(Multi-agent system,MAS)的故障诊断体系结构。
短句来源
    The bayesian network is also used to decide which feed is most important to the reliability of distribution network. The main content is as follows:1) On the basis of FEMA(failure models and effect analysis), it is shown that the minimal path method is able to evaluate distribution network reliability quickly and exactly, not taking into the structure of the network.
    1) 对配网可靠性常用的评估方法故障模式影响分析法(FEMA)进行了研究,并以此为基本原理,采用最小路法化简网络结构,程序结果表明,采用最小路法能运用于不同网络结构,只要确定网络的最小路矩阵,就能快速评估配网的可靠性。
短句来源
    The complexity of power system fault diagnoses was briefly introduced. The main methods for power system diagnoses were summarized,including expert system,fuzzy set theory,data mining and rough set theory,artificial neural network,Petri network,Bayesian network,optimization method,information theory,etc,which were brought forward by researchers in the near past twenty years.
    介绍电网故障诊断问题的复杂性所在,并总结归纳近10多年来国内外学者在故障诊断领域提出的主要方法,包括专家系统方法、模糊集方法、数据挖掘和粗糙集方法、人工神经网络、Petri网、贝叶斯网、优化算法及信息理论方法等。
短句来源
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  bayesian network
This paper addresses issues in constructing a Bayesian network domain model for diagnostic purposes from expert knowledge.
      
Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge
      
The object class is generatively modeled using a simple Bayesian network with a central hidden node containing location and scale information, and nodes describing object parts.
      
Our algorithm is implemented in a commercial Bayesian Network software package, AgenaRisk, which allows model construction and testing to be carried out easily.
      
In particular, to determine Jeffrey's prior for this model family, we show how to compute the (expected) Fisher information matrix for a fixed but arbitrary Bayesian network structure.
      
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This paper presents the application of Bayesian networks to the reliability assessment of power system. Bayesian networks can flexibly make expression and inference of uncertain information. Bayesian networks permit not only computing the reliability indices of a power system but also presenting the effect of each component or some components on the system reliability. A new method to construct Bayesian networks with the ideology of fault tree and minimal path sets are introduced in this...

This paper presents the application of Bayesian networks to the reliability assessment of power system. Bayesian networks can flexibly make expression and inference of uncertain information. Bayesian networks permit not only computing the reliability indices of a power system but also presenting the effect of each component or some components on the system reliability. A new method to construct Bayesian networks with the ideology of fault tree and minimal path sets are introduced in this paper. Thus the shortcomings of traditional reliability assessment methods are overcomed. The results of two examples prove the validity and superiority of the method in the application of the reliability assessment of power system.

贝叶斯网络能够灵活地表示不确定性信息 ,并能进行不确定性推理。运用贝叶斯网络方法进行电力系统可靠性评估 ,不但能计算出电力系统的可靠性指标 ,而且能方便地给出每个部件或几个部件对系统整体可靠性的影响大小 ,从而克服了电力系统传统可靠性评估方法的不足。文中提出了结合故障树和最小路集来建立贝叶斯网络的新方法 ,并用两个例子阐述了用贝叶斯网络方法进行电力系统可靠性评估的有效性和优越性。

A new method to construct Bayesian networks with the topological relationship of distribution systems and influence of each component on systems is introduced for reliability analysis of distribution systems. The method permits not only computing the reliability indices of a distribution system but also presenting the effect of each component or some components on the system reliability. Thus the shortcomings of traditional reliability assessment methods are overcomed. The validity and superiority of the...

A new method to construct Bayesian networks with the topological relationship of distribution systems and influence of each component on systems is introduced for reliability analysis of distribution systems. The method permits not only computing the reliability indices of a distribution system but also presenting the effect of each component or some components on the system reliability. Thus the shortcomings of traditional reliability assessment methods are overcomed. The validity and superiority of the method are examined by some numerical examples.

提出了根据配电网的实际拓扑结构和元件对系统的影响关系直接建立贝叶斯网络以实现配电系统可靠性分析的方法。该方法的特点是不仅能进行配电网的可靠性指标评估,而且还能方便地得到系统每个元件或几个元件对整个系统可靠性的影响,从而克服了配电系统传统可靠性评估方法的不足。通过实例,阐述了应用贝叶斯网络方法进行配电系统可靠性评估的有效性和优越性。

Afault tree method based on Bayesian network for Reliability Evaluation of Distribution System is presented. It can compute the effect of each component on system reliability effectively, analyze the feeble points of system and simplify the calculating process. The reliability indices of Distribution Systems can be computed conveniently. It is proved to be feasible and valid through examples.

提出了一种基于贝叶斯网络的故障树分析法并应用于配电系统的可靠性评估。该方法能够有效地求解系统中各部件对系统整体可靠性的影响大小,分析系统中的薄弱环节。该方法计算简便,可在此基础上方便﹑灵活地计算配电系统的可靠性指标。通过实例证明了该方法是有效可行的。

 
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