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。
What the model-based diagnosis is composed are: model building, conflict recognition, diagnostic generation, diagnostic test.
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。
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.
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。
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.
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。
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.
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.
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.
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.
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.
绘出了基于状态监控与诊断中心的状态检修工作思路,给出了基于状态监控与诊断中心的变压器状态评估工作模型。
The working thought of predictive maintenance is draw out and the evaluating work-model of the transformer states is proposed based on monitoring and diagnosing center.
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。
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.
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.
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.
提出了一个基于模糊隶属度和规则的分类层次诊断模型。
A hierarchic classification diagnosis model, based on fuzzy membership grade and rules is being proposed.
提出一种基于因果网络的诊断推理模型。
A diagnostic reasoning mode based on causal network is proposed.
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 new gear fault detection and diagnosis scheme based on Hidden Markov Model (HMM) of vibration signals is introduced.
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.
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.
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.
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.
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.
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.
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.
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.
因此,研究基于多级评分模型的认知诊断具有重要的意义。
So the cognitive diagnosis under polychotomous scoring model is very meaningful.
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 fault diagnosis model-based is described directly by comparing the output characteristic of model system and virtual fault system.
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.
应用推荐