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。
A knowledge base edit and maintenance system for fault diagnosis expert system is designed.
设计了一种适用于故障诊断专家系统知识库编辑和维护系统。
Finally, the thesis develops expert system of engine fault diagnosis, and introduces setting-up and maintenance of knowledge base, design of reasoning mechanism and so on in detail.
最后，课题对发动机故障诊断专家系统进行了开发，并详细介绍了知识库的建立和维护、推理机制的设计等。
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。
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。
According to the characteristic of equipment and fault diagnosis, both database and knowledge base are discussed emphatically.
根据变电设备自身特性与故障诊断特点，重点讨论了专家系统的数据库和知识库设计。
The 3-d diagrams can enrich the feature information for the knowledge base of the rotating machinery rub fault diagnosis system and is of significance to diagnose rub faults in rotor more accurately.
声信号三维谱图丰富旋转机械碰摩故障诊断系统知识库中的特征信息，可以用于更准确地诊断转子中的碰摩故障。
The function that the system realizes mainly includes: knowledge base maintenance and modification, diagnosis database importing and scanning, equipment fault diagnosing function, printing report.
专家系统实现的主要功能包括：知识库管理、事实数据录入和查询、设备的故障诊断和报表打印。
A simple artificial intelligence system for fault diagnosis established in this paper. The system consists of knowledge base, fuzzy reasoning module, neural network module and control module.
设计了一个简单的人工智能故障诊断系统模型，它包括知识库、模糊推理、神经网络和控制模块等。
The knowledge base is designed as a multidimensional tree. The diagnosis data are collected through testing and reasoning the objects. Fault positioning is realized by using characteristic vectors.
知识库设计为多元故障树，诊断数据来源于对被诊断对象的测试与知识推理，依据特征向量实现故障定位。
The knowledge base is designed as a multidimensional tree. The diagnosis data are collected through testing and reasoning the objects. Fault positioning is realized by using characteristic vectors.
知识库设计为多元故障树，诊断数据来源于对被诊断对象的测试与知识推理，依据特征向量实现故障定位。
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