智能故障诊断

基于支持向量机和多Agent融合的智能故障诊断系统研究

Research on the Intelligent Fault Diagnosis System Based on the Fusion of Support Vector Machine and Multi-Agent

基于BP神经网络的挖掘机智能故障诊断知识库设计

Intelligent Fault Diagnosis Knowledge Base Design of Grab Based on BP Neural Network

Web环境下可重用的智能故障诊断系统及其实现

Implementation of reusable Web-based intelligent-fault-diagnosis system

智能故障诊断理论在32位ARM系统中的研究与应用

Research and Application of Intelligent Fault Diagnosis Algorithm in 32-bit ARM Digital System

并将其应用于实际的ARM智能故障诊断系统中。

And apply it to ARM digital system .

基于Petri网的变电站智能故障诊断的研究

Research of Intelligent Fault Diagnosis of Transformer Substation Based on Petri Net

本文正是以BP神经网络为基础，对智能故障诊断方法进行了深入研究。

In this paper , further research is taken on the basic of BP networks and fault diagnosis .

基于Internet的远程智能故障诊断技术是近年来伴随着网络技术的高速发展，融合传统的故障诊断与计算机科学、通信等学科领域的先进科学技术而发展起来的一项新技术。

Internet-based remote diagnosis system becomes a new technology , which is composed of advanced technique in traditional fault diagnosis , computer science and communication .

卷烟机组测控系统加载PCB智能故障诊断系统

An Intelligent Fault Diagnosis System for Laaded PCB In Control System of Tobacco Machines

分布式智能故障诊断模型的MAS实现研究

Research on Distributed Intelligence Fault Diagnosis Model Implementation Which Based on MAS

基于MAS的分布式智能故障诊断模型与关键技术研究

MAS-based Distribute Intelligence Malfunction Diagnosis Model and Key Technology

基于DCS实时信息的智能故障诊断系统的研究与设计

Study on Research and Design of Intelligent Fault Diagnosis System Based on the Integration of DCS Real-time Information

SVM方法的应用为以计算机技术为基础的设备监测、智能故障诊断提供技术保障。

Application of SVM offers the technical guarantee for the monitor and intelligent malfunction diagnosis to the computerized equipment .

针对分布式智能故障诊断中存在的异构形式知识，文中采用XML技术进行集成，实现知识的统一表示。

This paper adopts XML technology to integrate the isomeric forms of knowledge existing in distributed intelligent fault diagnosis , thus the integrated knowledge representation is implemented .

军用自动测试系统（ATS）体系结构及智能故障诊断方法研究

Research on the Architecture of Military ATS and the Methods of Intelligent Fault Diagnosis

通过知识库和诊断推理机的分离、诊断Agent的动态生成和管理等技术，该智能故障诊断系统能方便地推广到其他设备。

By setting apart the knowledge base and the reasoning machine , creating and managing the diagnostic agent dynamically , this diagnostic system can be generalized to be used for other equipments .

在第3章中，主要介绍了故障诊断的方法，讨论了智能故障诊断技术以及在B／S模式下故障诊断专家系统的基本框架，并且提出了远程故障诊断系统的关键技术。

In chapter 3 , the author introduces the methods of fault diagnosis and discusses intelligent fault diagnosis technology and the basic frame of fault diagnosis expert system in B / S mode .

探讨了基于神经网络技术的智能故障诊断方法，重点研究了模糊Hamming网络。

And based on this work , an intelligent fault detecting method is discussed . A fuzzy Hamming net is mainly studied .

RH-KTB大型真空冶金系统智能故障诊断

Intelligent Fault Diagnosis of Large Vacuum Metallurgical System

基于故障树的RH-KTB大型真空系统智能故障诊断

Intelligent Monitoring and Diagnosis of RH-KTB Vacuum System Based on Object-Oriented Fault Tree Models

在此基础上，以发动机为例开发了基于Web的远程智能故障诊断系统，服务器端使用ASP技术，各子系统诊断模块为DCOM组件。

Then the prototype of remote intelligence fault diagnosis system for engine is realized . The server component is realized with Microsoft ASP technology and the diagnosis subsystem components are realized with the DCOM technology .

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 .

文章针对铁路货车滚动轴承故障的实际情况，将支持向量机（SVM）方法引入货车轴承的智能故障诊断中，实现了轴承的在线智能诊断。

In the condition of Rolling Bearing Fault , this paper use the support vector machine ( SVM ) method for the intelligent fault diagnosis of bearing trucks , and realize intelligent bearings diagnosis online .

目前，在自动测试系统（ATS）下对电路板进行智能故障诊断是军用测试领域中比较前沿的技术。

Nowadays , the leading technology in this field is testing the circuit board under the Automatic Test System ( ATS ) by the intelligent fault diagnosis .

鉴于传统方法在智能故障诊断中存在着一些不足，提出了一种基于多类支持向量机（SVM）和改进的经验模式分解（EMD）的故障检测与诊断办法。

Aiming at the disadvantage of classic neural networks , a new fault diagnosis method is proposed based on multi-class support vector machine ( SVM ) and improved empirical mode decomposition ( EMD ) .

基于虚拟分布控制系统（DCS）的仿真系统生成的故障数据以及它所提供的过程控制中的对象链接与嵌入OPC（OLEForProcessControl）服务器，设计了火电厂实时智能故障诊断系统。

A real-time intelligent fault diagnosis system for power plant is designed with the help of the simulation system based on virtual DCS ( Distributed Control System ), which provides both the fault data and the OPC ( OLE for Process Control ) server .

根据油田生产现代化、管理数字化的要求，提出了利用现代传感测试技术、人工智能故障诊断技术、GPRS数据通信技术构造抽油机的远程智能故障诊断网络系统的方案。

Based on the requirement of modern production and digital management in oilfield , the project of long-distance artificial intelligent fault diagnosis network constructed by modern sensing technology , artificial intelligent fault diagnosis technology , GPRS digital communication technology is presented .

利用UML技术建立了系统的软件模型，采用智能故障诊断的专家系统技术与方法，用VC++工具进行了系统开发并通过实验方法对系统的可靠性进行了分析。

With software model established by UML ( The Unified Modeling Language ) technique and using Visual C + + 6.0 tool , the monitoring and fault diagnosis system is developed and fulfilled . In the end , the system reliability is validated by test .

针对目前DJ-1型电力机车在故障诊断方面的迫切性和研究不足，提出了基于自学习的智能故障诊断分析系统；

A self-study intelligent fault diagnosis analysis system ( SS-IFDAS ) is proposed to solve the impendency and lack of research on the fault diagnosis of DJ-1 electric locomotive .

用3步法构造贝叶斯网络（BN）方法，结合油中溶解气体分析（DGA）的三比值法后，引入大型变压器的故障诊断，提出了基于BN理论和DGA方法的变压器智能故障诊断模型。

This paper presents a new transformer fault diagnosis method based on Bayesian network ( BN ) and dissolved gas analysis ( DGA ) technique . It constructs the transformer fault diagnosis model based on BN and DGA .