The basic principle of model based fault diagnosis is briefly introduced.
介绍了模型参考故障诊断的基本原理。
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 benefits of the observer-based fault diagnosis scheme are with high robustness, high reliability and safety.
该方法充分利用系统的数学模型，具有鲁棒性强、效率高和可靠性好等优点。
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。
Rule-based fault diagnosis, and especially expert systems, are already widely used in diagnosing faults of complex systems.
在复杂系统故障诊断中，基于规则的故障诊断特别是专家系统已得到广泛应用。
Finally under the background of practical engineering application, the model-based fault diagnosis system of satellite power subsystem is developed.
最后以实际工程应用为背景，开发研制了基于模型的某型卫星电源分系统的故障诊断原型系统。
This paper investigates the diagnosis mechanism, system modeling, advantages and disadvantages of the qualitative model-based fault diagnosis approach.
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。
After analyzing the circuit structure and fault characteristics of the aircraft power system, the authors built an on-line model-based fault diagnosis system.
在分析空间电源系统电路结构和故障特征基础上，建立起基于模型在线故障诊断系统。
A key for the feasibility and applicability of the techniques of observer-based fault diagnosis for dynamic systems is a satisfactory robustness with respect to system uncertainties.
基于观测器的动态系统故障诊断技术的可行性和应用性，关键是对系统不确定性因素具有良好的鲁棒性。
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。
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.
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。
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。
Fault diagnosis of the generator set based on fractal theory.
基于分形理论的汽轮发电机组故障诊断。
This paper introduces an on-line fault diagnosis system that based on expert system in cement production, and discusses its composition, main function and implementation method.
本文介绍了一种基于专家系统的水泥生产在线故障诊断系统，阐述了系统的构成、主要功能和实现方法。
According to the characters of traditional expert system and neural network, a neutral - network - based mixed fault diagnosis expert system was designed.
针对传统专家系统和神经网络的各自特点，将两者有机结合，构造了一种基于神经网络的混合型故障诊断专家系统。
In order to extract simple and effective diagnostic rales from inconsistent diagnostic information, an extraction method of decision rules for fault diagnosis based on rough set theory is proposed.
为了在故障诊断信息不一致的情况下提取简单有效的诊断规则，提出了一种基于粗糙集理论的决策规则提取方法。
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；
This paper introduces an on-line fault diagnosis system that based on expert system in cement production. It discusses the system composition, main function and implementation method.
介绍了一种基于专家系统的水泥生产在线故障诊断系统，阐述了系统的构成、主要功能和实现方法。
At present some commonly used fault diagnosis methods are based on the large samples data, however we employ the small samples data in the real project, therefore its application has been limited.
目前一些常用的故障诊断方法都是以大样本数据为基础的，但通常在实际工程中得到的故障一般都是小样本数据，使其应用受到了一定的限制。
The problem of test node selecting in fault diagnosis is studied based on the diagnosis value measure.
针对故障诊断中的检测点优选问题，提出了一种新的检测点故障诊断价值测度方法。
In this paper, neural network is studied and a fault diagnosis method based on neural network is presented.
本文通过对神经网络的研究，提出了基于神经网络的故障诊断方法。
The improved BP algorithm added momentum item and chaotic mapping was adopted in fault diagnosis of power supply system based on chaotic neural network.
基于混沌神经网络的供配电系统故障诊断，采用引入动量项和混沌映射的改进BP算法。
This method based on modified nodal approach is easy to set up the fault diagnosis equations and has lower degree of nonlinearity and regular Jacobi matrix form.
该法以电路的改进节点方程为基础，具有建立故障诊断方程容易，所建立的方程具有较低的非线性度及规则的雅可比矩阵的特点。
A novel method of pattern recognition and fault diagnosis in electrical machine based on the wavelet-neural network is proposed according to the frequency spectrum characteristics of vibration signal.
针对电机振动信号的频谱特点，提出基于小波神经网络技术的电机故障模式识别与诊断的新方法。
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。
Based on the linear matrix inequality (LMI) approach, the system fault diagnosis problem can be solved by using the systems robust stability analysis method.
基于线性矩阵不等式(LMI)的方法，将故障检测问题转化为系统鲁棒稳定性的分析问题。
Based on the linear matrix inequality (LMI) approach, the system fault diagnosis problem can be solved by using the systems robust stability analysis method.
基于线性矩阵不等式(LMI)的方法，将故障检测问题转化为系统鲁棒稳定性的分析问题。
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