因此采用贝叶斯网络推理和诊断具有一定的针对性。
So application of Bayesian Networks for reasoning and diagnosis has a definite pertinence.
针对贝叶斯诊断网络在实际应用时需要对具体对象建立相应诊断网络的问题，开发了一个贝叶斯诊断网络平台。
The fact that Bayesian diagnostic network must be constructed for a specific diagnosed object in the practical applications motivated to develop a new network platform.
[10]刘思远。信息融合和贝叶斯网络集成的故障诊断理论方法及实验研究[D]。秦皇岛：燕山大学，2010。
LIU Siyuan. On Information Fusion and Bayesian Networks Integrated Fault Diagnosis Theoretical Method and Experiments [d]. Qinhuangdao: Yanshan University, 2010.
数控车床；智能故障诊断；贝叶斯网络；振动分析。
CNC lathe; intelligent fault-diagnosis; Bayesian Network; vibration analysis.
本文对目前电网故障诊断集中式贝叶斯网络模型作了有效改进。
Some improvement has been made on fault diagnosis of the current centralized Bayesian network model.
贝叶斯网络模型应用到故障诊断之前，必需对模型的正确性、故障诊断率、故障隔离率等进行全面的分析评估。
The validity, faults diagnostic rate and faults isolated rate of the model must be evaluated all before Bayesian Networks model is used for faults diagnosis.
针对轴向柱塞泵故障特征的模糊性和不完备性特点，提出一种多特征信息融合与贝叶斯网络相结合的故障诊断方法。
Aiming at the fuzzy and incomplete nature of fault characteristics of axial piston pump, a method of Bayesian networks and multi-characteristic information fusion was proposed.
诊断模块采用贝叶斯网络推理方法，能实现快速故障诊断。
Bayesian network is used in the diagnosis module, and the fault location could be achieved quickly.
并通过基于贝叶斯网络的推理机制，给出了智能水下机器人故障诊断系统的建模过程以及对诊断策略的优化方案。
By the inference mechanism based on Bayesian Networks, a modeling process of fault diagnosis system of AUV and the optimizing method of fault diagnosis strategy are given.
针对以上问题，本文研究采用关联规则属性约简和贝叶斯网络相结合的电网故障诊断方法。
Therefore, the authors propose a new approach of Augmented Naive Bayesian network based on Association Rules data mining to diagnose faults in power network.
变压器故障诊断中的信息具有随机性和不确定性的特点，提出一种基于模糊贝叶斯网络的变压器故障诊断方法。
Due to the randomness and uncertainty of power transformer fault diagnosis data, a novel specific transformer fault diagnosis method based on Fuzzy Bayesian network is proposed in this paper.
本文数控机床故障诊断的贝叶斯网络模型的结构确立，以传统的故障树分析为基础。
On the basis of analyzing the advantages of Bayesian Networks when researching problems of uncertainty, a concrete model about the quality of workpiece of CNC lathe was established.
对贝叶斯网络的参数学习进行了探讨，结合实例统计和相关性分析建立了车身偏差诊断的贝叶斯网络模型。
Parameter study of Bayesian network is investigated. According to the methods of example statistics and correlation analysis, Bayesian diagnosis model of body deviation is established.
对贝叶斯网络的参数学习进行了探讨，结合实例统计和相关性分析建立了车身偏差诊断的贝叶斯网络模型。
Parameter study of Bayesian network is investigated. According to the methods of example statistics and correlation analysis, Bayesian diagnosis model of body deviation is established.
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