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。
Based on comparing some methods for traditional knowledge representation, this paper introduces the application of object-oriented knowledge representation in a fault diagnosis system.
本文在比较了几种传统的知识表示方法的基础上，介绍了在某故障诊断系统中采用面向对象的知识表示方法的具体应用。
Based on fault tree analysis (FTA) theory, an object-oriented knowledge representation method in a fault diagnosis expert system for machine tools was studied.
针对所研究的机床故障诊断专家系统，以故障树分析法为基础，采用面向对象的事件知识表示方法。
A novel approach for fault forecast and diagnosis of steam turbine based on rough set data mining theory is brought forward, aimed at overcoming shortages of some current knowledge attaining methods.
基于粗糙集数据挖掘理论的汽轮机故障预测和诊断，提出了一种新的方法，旨在克服现有的一些实现方法的知识短缺。
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。
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。
Fault diagnosis and test methods can be divided into the method based on mathematical model, the method based on signal processing and the method based on knowledge.
故障诊断与检测的方法可以分为基于数学模型的方法、基于信号处理的方法和基于知识的方法。
This paper studies the knowledge rules acquisition methodology based on Rough set for fault diagnosis.
本文研究了将粗糙集应用于故障诊断，进行知识规则获取的方法。
And the on-board computer expert system adopting the expert system structure widely based on the knowledge and the reasoning rules accomplishes the fault diagnosis.
车载计算机故障诊断专家系统采用应用广泛的基于知识的专家系统结构，通过规则进行推理来实现机车电传动电路的故障诊断任务。
MODES (Machining Operation Diagnosis Expert System) is a knowledge-based machining fault diagnosis system.
是基于知识的机械加工故障诊断专家系统。
A novel knowledge-based fuzzy neural network (KBFNN) for fault diagnosis is presented.
提出了一种基于知识的模糊神经网络并用于故障诊断。
The fault diagnosis Knowledge base based on fault tree is divided into universal system, branch system, subsystem, units and parts, etc.
基于故障树的诊断知识库按照全系统、分系统、子系统、组合和部件等划分。
Based on an expert system of real-time fault diagnosis of chemical processes developed, techniques of the knowledge-base organization and maintenance are presented in this paper.
在开发化工过程实时故障诊断专家系统的基础上，本文讨论了知识库的组织和维护技术，对知识表示和知识库结构进行了详细介绍。
Fault Diagnosis Expert System based on this method can somewhat reduce the difficulty in representing and acquiring knowledge.
基于这种形式化方法的故障诊断专家系统可在一定程度上减小知识表示和获取的困难。
A novel approach for fault forecast and diagnosis of steam turbine based on rough set data mining theory is brought forward, aiming at overcoming shortages of some current knowledge attaining methods.
针对当前专家系统知识获取瓶颈的难题，提出了基于粗糙集数据挖掘的汽轮机故障预报及诊断方法。
Fault diagnosis process based on the Ontology was elaborated, and then the fault knowledge expression and the fault diagnosis algorithm based on the Ontology were put forward.
本文对某些传感器出现通信故障的多传感器动态系统进行了研究，通过改进现有的系统框架，提出了一种新的融合估计算法。
Fault diagnosis process based on the Ontology was elaborated, and then the fault knowledge expression and the fault diagnosis algorithm based on the Ontology were put forward.
本文对某些传感器出现通信故障的多传感器动态系统进行了研究，通过改进现有的系统框架，提出了一种新的融合估计算法。
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