最后介绍了一个可重用的智能故障诊断系统的具体应用。
At last, introduces an application of reusable intelligent fault-diagnosis-system.
因此，建立一套RH-KTB智能故障诊断系统有其实际意义。
So it is important that an intelligent fault diagnosis system for RH-KTB is developed.
本文论述了一个基于某大型通信设备的智能故障诊断系统的设计思想、总体结构。
The design principle and general structure of an intelligent troubleshooting system using a certain communication equipment are put forward in this paper.
结合开发智能故障诊断系统的经验，讨论了数据库及其相关技术在推理机设计方面的应用。
And a inference engine design based on database and related technologies, combined with the practical experience to develop intelligent fault diagnosis system is discussed.
这里着重介绍智能故障诊断系统的软件框架的设计以及实时数据采集部分的设计、实现方法。
This paper emphasizes the total software frame of the fault diagnosis system, and the implementation of its real-time data collection 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。
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.
最后，以自动门为应用对象，采用规则诊断与贝叶斯诊断集成推理技术，开发了自动门智能故障诊断系统。
Finally, taking ADRT as the application object, using the integrated inference technology of rule diagnosis and Bayesian Network diagnosis methods, we develop the intelligent fault diagnosis system.
在机车智能故障诊断系统中的应用表明，该方法对于那些测量结果属于正态分布的参数故障阈值的设定具有指导意义。
The applications to intelligent locomotive fault diagnosis system show that the method could act as a guideline for the determination of threshold with positive distribution of fault parameters.
提出并实现了一种基于专家系统和神经网络集成的方法。同时给出了系统的硬、软件结构，并通过实验证明该智能故障诊断系统的可靠性和准确性。
We put forward an module integrated expert and neural network. The hardware and software are also given. It is proved that the intelligent integrated system effctive.
对某舰艇柴油机冷却系统的故障诊断进行了研究，针对传统故障诊断当中效率慢、准确度低的缺点，设计了某舰艇柴油机冷却系统的智能故障诊断系统；
Aimed at the defect of low veracity and inefficient tradition fault diagnosis, a system, an intelligent fault diagnosis system of a naval vessel's cooling system of diesel engine is designed.
在人工智能机器故障诊断系统中，如何获得故障诊断等知识成为关键技术。
In an artificial intelligent diagnosis system for mechanical faults how to acquire diagnosis acknowledge is a key problem.
并在此基础上构建了一个基于粗集一神经网络的智能混合故障诊断系统。
Herein, intelligence hybrid system based on rough sets and neural network for fault diagnosis is established in this paper.
可作为智能电缆故障诊断系统的一个智能模块为其提供特征层次的结论。
It can offers the conclusion of the characteristic level for diagnose as the fault of the intellectual cable an intelligent object of the system.
目前，专家系统、神经网络、以及信息融合等智能诊断系统已广泛的应用于液压系统的状态监测与故障诊断中。
Now, intelligence diagnoses system such as specialty system, neural network, and information mixing have been used in the condition monitoring and failure diagnose of hydraulic system.
最后，提出了综合信息融合技术、人工神经网络技术、专家系统知识的智能化异步电动机故障诊断系统。
In the end, the intelligent asynchronous motor fault diagnosis system combining information fusion with artificial network as well as expert knowledge system is presented.
为适应雷达故障诊断快速化、智能化的要求，介绍了一种基于改进的BP算法的雷达故障诊断系统设计方法。
To meet the rapid and intelligent requirement of radar fault diagnosis, a design method of radar fault diagnosis system based on improved BP algorithm is introduced.
移动复杂设备远程故障诊断底层智能网络是整个远程故障诊断系统的关键和基础。
In the whole remote fault diagnosis system of mobile and complicated equipment, the bottom-intelligent network is an important and basic part.
目前，智能混合故障诊断系统已成为故障诊断领域的研究热点。
At present, intelligent hybrid fault diagnosis system has been a research hotspot in the field of fault diagnosis.
同时，将诊断输出值引入网络样本库，组成了自适应智能诊断系统，提高了故障诊断结论的准确性。
Meanwhile, the diagnosing result was introduced network sample database to construct self-adaptive intelligent diagnosing system, thus, the accuracy of malfunction diagnosis improved as a result.
用此表结合神经网络和演化算法进行诊断，开发了一个通用型智能旋转机械故障诊断系统。
A common intelligence fault diagnosis system for the rotating machinery can be developed based on this theory.
文章阐述了电站电气主设备基于数据库技术、模糊理论、人工智能专家系统及神经网络原理构造的故障诊断系统。
In this paper, a fuzzy database-based intelligence systein on diagnosing electrical faults in power station electric apparatus is proposed.
为实现数模混合电路的测试与故障诊断系统的智能化提供了一种新思路。
It provides a new idea for the mixed-signal circuits testing and the intelligentization of fault diagnosis system.
多波段接收机覆盖频段宽，集成度高，维修保障难度大，采用智能故障诊断时的结构复杂，文章介绍的故障层次分类结构可大大提高智能诊断系统的工作效率。
Its difficult to maintain the multi-band receiver because of its wide frequency range and high integration, for which the usual intelligent detector is very complex.
并通过基于贝叶斯网络的推理机制，给出了智能水下机器人故障诊断系统的建模过程以及对诊断策略的优化方案。
By the inference mechanism based on Bayesian Networks, a modeling process of fault diagnosis system of AUV and the optimizing method of fault diagnosis strategy are given.
并通过基于贝叶斯网络的推理机制，给出了智能水下机器人故障诊断系统的建模过程以及对诊断策略的优化方案。
By the inference mechanism based on Bayesian Networks, a modeling process of fault diagnosis system of AUV and the optimizing method of fault diagnosis strategy are given.
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