详细介绍了基于定性模型故障诊断方法的诊断机理、建模方式及优缺点。
This paper investigates the diagnosis mechanism, system modeling, advantages and disadvantages of the qualitative model-based fault diagnosis approach.
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 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.
此模型可用于模式识别和故障诊断。
This model can apply to pattern identification and fault diagnosis.
提出一种基于人工免疫模型的故障诊断方法。
This paper presents a fault diagnosis method using artificial immune model.
以一个实际故障诊断系统应用为例，说明了该模型具有直观、表达能力强和易于推理的优点。
With the application of the model in a real fault diagnosis system, the advantages of direct-view, strong expression ability and easy theorization are shown.
首先是建立了一套故障诊断和容错控制研究专用的水下航行器模型。
First, we build a fault diagnosis and fault-tolerant control of a specific model of the torpedo.
在对整个电力系统进行故障诊断研究时，故障诊断算法的鲁棒性差且有些诊断对象不易于建立实际系统数学模型。
Upon the research on the whole electric power system, the robustness of fault diagnosis algorism is bad and it is hard to build practical math models for some objects.
文中提出了一种基于模型的模拟电路故障诊断方法。
In this paper, a method of fuzzy fault diagnosis based on the model for the analog circuits is presented.
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；
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.
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。
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.
应用模糊模式识别方法及最大隶属原则，建立了凝汽器故障诊断模型，并以实例验证该模型识别故障的准确性。
By applying fuzzy pattern recognition and maximum membership rule, fault diagnosis model for condenser has been established and its accuracy for identifying faults is tested and verified.
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 proposes a fault diagnosis method for grounding grid based on nonlinear nodal voltage optimization model.
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。
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.
本文提出了汽轮机通流部分的故障诊断模型。
This paper presents some fault diagnosis models for steam turbine blading components.
在此基础上，提出了系统的多重预设模型的故障诊断方法。
A new fault diagnosis method based on multiple preset models is also proposed.
由于复杂过程因素多，波动大，反应机理复杂，无法建立精确的数学模型，传统的故障诊断方法很难取得令人满意的结果。
Owing to many factors, great fluctuations and intricate reactive mechanism of complex process, it is hard to get the satisfied results by the traditional fault diagnosis methods.
实验证明，采用分布式的告警相关性模型可以有效提高系统的故障诊断水平。
The experimentation has proved that the fault diagnosis efficiency is prompted by the distributed alarm correlation systems.
通过对抽油井故障诊断智能集成系统的研究，提出并实现了一种抽油井故障诊断松耦合集成的模型。
Through the research on the intelligent integrated system during the fault diagnosis of pumping oil well, we put forward an integrated loose coupling module.
提出一种在范例推理框架上集成模糊数学的故障诊断方法，并进一步建立起可应用于电力变压器故障诊断的实用模型。
A diagnostic method integrating case based reasoning with fuzzy theory is presented in this paper, and a practical model for power transformer fault diagnosis is further built up.
同时以hitsat小卫星的电源分系统的故障诊断为例，证明该模型在小卫星在轨故障诊断系统中的有效性和可用性。
Furthermore, taking the power subsystem's fault diagnoses of HITSAT small satellite as an example, we have proved the validity and usability of this model in the paper.
基于斜率故障模型和线性相关系数故障模型，提出了一种模拟电路软故障诊断字典法中的测试节点优选算法。
Based on the slope fault mode and the coefficient of linear relativity fault mode, a test nodes selection algorithm for soft fault diagnosis dictionary method of analog circuits was proposed.
基于多层前向网络的诊断模型在设备故障诊断领域应用比较广泛。
Diagnosis models based on multilayer feedforward neural networks are widely used in the field of machinery fault diagnosis.
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。
On the based of rotating machinery fault diagnosis model, familiar fault on gas blower are analyzed.
阐述了人工神经网络模型的一般结构和算法，并设计了机械故障诊断神经网络的模型和学习过程。
The structure and algorithm of artificial neural network model were described, and the model and learning-procedure of mechanical fault diagnosis neural network were designed.
算例测试结果表明所提出的故障诊断模型正确、方法有效，且在实时故障诊断的应用上具有很好的潜力。
Results of the testing example prove that the approach proposed is correct, effective and has potential for application of real-time fault diagnosis.
利用汽车发动机点火系统的故障实例验证了基于BP模型的神经网络故障诊断正向推理方法的有效性和可行性。
The validity and feasibility of the forward reasoning method for fault diagnosis based on BP neural networks are verified by the example of the faults in the ignition system of automobile engine.
利用面向对象程序设计(OOP)技术实现该模型，使工程机械故障诊断专家系统的诊断效率和适应性得到极大的提高。
The model is realized by the OOP technology, causing the prodigious improvement of the efficiency and the adaptability of the construction machinery's fault-diagnosis expert system.
利用面向对象程序设计(OOP)技术实现该模型，使工程机械故障诊断专家系统的诊断效率和适应性得到极大的提高。
The model is realized by the OOP technology, causing the prodigious improvement of the efficiency and the adaptability of the construction machinery's fault-diagnosis expert system.
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