Hierarchical diagnosis is an important method for reducing the complexity of model-Based diagnosis.
分层诊断是减少基于模型诊断计算复杂性的重要方法。
What the model-based diagnosis is composed are: model building, conflict recognition, diagnostic generation, diagnostic test.
本文对基于模型的诊断的全部诊断过程：模型建立、冲突识别、诊断产生、诊断测试。
This paper analyzes characteristics of candidate diagnosis items, proposes the dynamic test strategy for model-based diagnosis.
本文通过分析基于模型诊断的候选诊断集的特点，提出了基于模型的动态测试策略。
But now the system is not perfect and need further improvement, the model-based diagnosis of the application of the theory in practice will play a role in pushing forward.
但是该系统现在还不是很完善，需要进一步的改进，对于基于模型的诊断的理论在实际上的应用会起到一定的推进作用。
On the model with reasonable isomorph suppose, a model-based diagnosis is used in program debbuging for logic errors, and compare this model to the other classical models on its advantages.
在此模型上，使用合理的同构假定，运用基于模型的诊断方法对程序进行逻辑错误的诊断，并与经典的诊断模型作了比较。
This paper introduces the basic concepts of a branch of AI field--the model-based diagnosis and the consistency-based diagnosis, and sums up the advantages and shortages of the model-based diagnosis.
介绍了人工智能领域的一个分支——基于模型的诊断以及基于一致性诊断的基本概念，总结了基于模型诊断的优点和有待改进的地方。
Based on the physical and mathematical model of spacecraft propulsion system, the application of model based fault diagnosis method to the propulsion system of spacecraft was studied.
在飞船推进系统的物理和数学模型的基础上，研究了基于模型的故障诊断方法在飞船推进系统中的应用。
According to the ways of using the diagnosis knowledge, can fault source separation and location technology based on the method and model are divided into two kinds of method based on rules.
根据诊断知识的利用方式，可以将故障源分离与定位技术分为基于模型的方法与基于规则的方法两大类。
First, it researches the category and design process of the fault diagnosis model based on neural network. The model includes 6 categories and 5 design processes.
首先研究了基于神经网络的故障诊断模型的分类和设计步骤，并将诊断模型大体分为6类和5个设计步骤；
A feature mining model was set up for rotating machine fault diagnosis, based on data mining.
在研究数据挖掘技术的基础上，建立了旋转机械故障诊断的特征挖掘模型。
On the based of rotating machinery fault diagnosis model, familiar fault on gas blower are analyzed.
在旋转机械故障诊断模型的基础之上，对风机的常见故障类型作了分析。
The application of qualitative model based fault diagnosis in electrical circuits fault diagnosis is introduced.
并介绍了基于定性模型的故障诊断技术在电路故障诊断中的应用。
The application of the model based fault diagnosis to the power unit of an excitation control system is described.
阐述了模型参考诊断方法在励磁系统功率单元的具体应用。
For this problem, a Multiple Model Adaptive Estimator (MMAE) based method for rotor crack diagnosis is proposed.
针对这个问题，提出了基于多模型估计(MMAE)的转子裂纹故障诊断方法。
In this paper, a method of fuzzy fault diagnosis based on the model for the analog circuits is presented.
文中提出了一种基于模型的模拟电路故障诊断方法。
The simulation result indicates that the presentation and application of this method makes model based detection and diagnosis of unexpected fault probable in the propulsion system of…
仿真结果表明，这项技术的提出和应用使得根据系统模型对推进系统的不可预知故障进行监测和诊断成为可能。
This paper introduces the tools for compute network fault diagnosis, and discusses the conventional strategies for network fault diagnosis based on osi model.
本文介绍了计算机网络常用故障诊断的工具，并讨论了基于OSI模型的故障检测的常用策略。
The fault diagnosis model-based is described directly by comparing the output characteristic of model system and virtual fault system.
通过系统模型和虚拟故障系统的输出特性对比，直观地描述了基于模型故障诊断方法的全部环节。
The fault diagnosis model-based is described directly by comparing the output characteristic of system model and virtual fault system.
通过系统模型和虚拟故障系统的输出特性对比，直观地描述了基于模型故障诊断方法的全部环节。
The principle and characteristics of model based fault diagnosis, and the limitations of other fault diagnosis approaches (rule based, based on artificial neural network, case based) were analyzed.
分析了基于模型的故障诊断方法的原理和特点以及其他故障诊断方法（基于规则、基于人工神经网、基于案例）的局限性。
This paper proposes a fault diagnosis method for grounding grid based on nonlinear nodal voltage optimization model.
提出了一种基于节点电压非线性优化模型的变电站接地网故障诊断方法。
This paper discusses the multifrequency diagnosis problem which is based on the Component Connecting Model.
本文从元件连接模型出发来研究多频故障诊断问题。
This paper presents a method for fault diagnosis based on the model and characters of combinatorial testing.
针对组合测试的基本模型和特征，提出了一种基于组合测试的软件故障诊断方法。
The method of fault diagnosis based on BP model neural network is studied, in which enough typical fault samples or expert knowledge are needed to train the neural network.
研究了基于BP模型神经网络的故障诊断方法，它只需来自生产实际的大量样板实例或领域专家的知识训练神经网络。
A new gear fault detection and diagnosis scheme based on Hidden Markov Model (HMM) of vibration signals is introduced.
介绍了一种基于振动信号隐马尔可夫模型(HMM)的新的齿轮故障检测和诊断方案。
A fault diagnosis approach for rotor systems based on AR model and support vector machine is proposed.
提出了基于AR模型和支持向量机的转子系统故障诊断方法。
First, the possibility fault area diagnosis model based on PN is built, the diagnosis model of fault components is set up based on PN and fault tree.
利用PN建立了可能性故障区域诊断模型，利用PN和故障树建立故障元件诊断模型。
Fault diagnosis model and learning rule of RBF ANN is studied. Fault diagnosis principle and step of RBF ANN based on rough sets theory is given.
研究了RBF神经网络故障诊断模型及学习规则，给出了基于粗糙集理论的RBF神经网络故障诊断原理和步骤。
Objective:To observe the effect of the diagnosis model of poisoning based on BP neural network.
前言： 目的：考察基于BP神经网络的中毒诊断模型的诊断效果。
Objective:To observe the effect of the diagnosis model of poisoning based on BP neural network.
前言： 目的：考察基于BP神经网络的中毒诊断模型的诊断效果。
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