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.
用这种学习算法建立某伺服机构的模型，并构造基于模型的故障诊断系统，通过实验取得了较好的结果。
Furthermore, the experiment using the learning algorithm to model a servo-mechanism and to construct the fault diagnosis system based on the model is carried out, the results is very good.
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。
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.
本学位论文以航天器电源分系统为应用背景，在理论和实践两个方面对基于模型的故障诊断技术及其在航天中的应用进行了系统的研究。
Taking the power subsystem of spacecraft as the research background, this dissertation makes a systematic study on model-based fault diagnosis technique and its application in aerospace.
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.
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.
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.
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。
For this problem, a Multiple Model Adaptive Estimator (MMAE) based method for rotor crack diagnosis 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。
A fault diagnosis approach for rotor systems based on AR model and support vector machine is proposed.
基于粗糙集、模糊集和贝叶斯最优分类器，提出一种变压器绝缘故障诊断与维护的综合决策模型。
Based on Bayesian optimal classifier, combining with rough set and fuzzy set, a new transformer fault diagnosis and maintenance mode is presented in the paper.
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.
基于模糊概念网络模型给出了一种故障诊断的新方法。
A new method of fault diagnosis is proposed based on fuzzy concept networks.
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。
This paper presents a method for fault diagnosis based on the model and characters of combinatorial testing.
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.
提出一种基于粗糙集理论的大型旋转机械故障诊断和知识获取模型。
A model of the fault diagnosis and decision rules acquisition for large rotating machinery based on Rough set is put forward.
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.
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。
This paper introduces the tools for compute network fault diagnosis, and discusses the conventional strategies for network fault diagnosis based on osi model.
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。
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.
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.
提出了基于知识库的变压器故障诊断专家系统。文中给出系统总体结构模型和面向对象模型。
Expert system of transformer fault diagnosis based on knowledge base is posed and general structure of system and object-oriented model are discussed in the paper.
提出了一种基于三层BP网络的柴油机故障诊断模型，给出了一种基于黄金分割法的变步长学习算法。
A diesel engine fault diagnosis model based on three-layer BP network is put forward, an step-changing learning algorithm based on gold-segmentation is given.
基于这两种模型，我们提出了一种用于故障诊断的联想搜索网络，并把它应用于一个锅炉给水装置的控制系统故障诊断上，最后给出了计算机的仿真结果。
Based on these two models, we propose an associative search algorithm for fault diagnosis and apply it to a control system. At last, the simulation results are given out.
为预测卫星热控系统温度、提高该系统故障诊断准确率，采用了基于模型的研究方法，建立了热控系统数学模型。
A model based research method is adopted to forecast the temperature and improve the accuracy of fault diagnosis for satellite heat control subsystem. A mathematical model is established.
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 qualitative model based fault diagnosis in electrical circuits fault diagnosis is introduced.
对一种基于模糊神经网络的故障诊断方法进行了研究，探讨了模糊神经网络诊断模型和模糊算子选择。
This paper pursues a fuzzy neural networks approach for fault diagnosis and discusses its models and the choice of the fuzzy operators.
传统的故障诊断方法有基于知识的方法、基于解析模型的方法和基于信号处理的方法。
There are the methods of based on the knowledge, or the analytic model, or the signal processing of the traditional methods of detecting faults.
对基于诊断对象数学模型的鲁棒故障诊断方法展开了深入的研究，并给出了三种鲁棒故障检测设计方法。
After thoroughly researching on the methods of the robust fault detection based on the observer, three robust fault detection design methods are put forward.
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.
针对松散耦合的船舶动力定位系统分布式体系结构，提出了一种基于改进的二值pmc模型的分布式系统级故障诊断算法。
For the loosely coupling distributed structure of ship dynamic positioning system, a new distributed system level fault diagnosis algorithm based on adaptive PMC model is proposed.
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.
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