该模型对智能监测与诊断系统的实现具有一定的指导意义，有利于建立集成化、智能化、自动化和网络化的诊断系统。
This model has a certain guidance meaning for realization of the intelligent monitoring and diagnosis system, is helpful to build an integrated, intelligent, automation and network diagnosis system.
目的利用人工神经网络和专家系统相结合的方法，建立高血压诊断的智能医疗诊断系统模型。
Objective To set up an intelligent medical diagnostic system for the diagnosis of hypertension based on expert system and artificial neural network.
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.
将神经网络与专家系统相结合，提出了一种应用于无人机指挥控制系统的智能故障诊断方法。
An intelligent fault diagnosis approach for UAV command and control system is presented by combining neural network and expert system.
提出了将人工神经网络与专家系统相结合，建立医疗智能诊断系统的方法，并用于心肌梗塞、心绞痛疾病的临床诊断。
Proposed a method which unites artificial neural network with expert system and set up a medical intelligent diagnosis system, which is used to diagnose myocardial infarction and angina as well.
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.
专家系统与神经网络是轧机液压故障智能诊断的主要途径。
Expert system and artificial neural net are main intelligence diagnosis ways for rolling milling hydraulics failures.
利用人工神经网络理论，通过对设备振动信号采集、处理和提取特征参数的方法，对装载机机械系统工作状态进行智能监测与故障诊断。
This paper involves ANN based intelligent condition monitoring and diagnosing of loaders, focusing on signal collecting and processing as well as characteristic parameter picking up.
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.
人工神经网络与气体传感器相结合，用于识别、分类、诊断和预测，将进一步提高气体检测系统的智能水平。
Artificial neural network together with gas sensors, which is applied to identification, classification, diagnosis and prediction, will further improve the intelligence of gas detection system.
文章涉及人工智能、专家系统、故障诊断、神经网络、数据库等方面内容。
The subject deals with many knowledge including Artificial Intelligence, Expert System, Neural Network, database, etc.
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.
考虑到众多故障信息的相互影响，基于神经网络和专家系统的集成实现智能化诊断。
Considering that much faults information is interactional, intellectualized diagnosis is implemented based on integrating the neural network with the expert system.
以故障诊断的理论和方法为基础，综合运用人工智能、模糊理论和神经网络理论，对复杂电子装备的故障诊断问题进行了研究。
The paper studies complex electric equipment fault diagnosis based on the theory and method of fault diagnosis by applying the theory of artificial intelligent, fuzzy theory and neural network.
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.
从而实现对现场设备的远程监测、控制、诊断和配置，实现嵌入式系统网络化、智能化。
As a result they can remote monitor, control, diagnose and configure embedded system, which endow embedded system with network and intelligence functions.
智能集成系统由基于BP神经网络的生产过程早期故障诊断结构和专家系统结构组成。
The intelligent fault diagnostic system includes two parts-the early fault diagnosis method for technical process based on BP-Neural Network and the expert system.
告警相关性分析是故障诊断与定位的重要手段之一，广泛应用于各种智能网络管理系统。
The alarm correlation analysis is an important approach of fault diagnosis, which plays a crucial role in network fault management.
利用智能夹层中光纤传感网络或自诊断模块，可以实现对智能结构的在线监测。
So, it can be achieved in line monitoring of smart structures by optical fiber sensing networks and self-diagnosing modules of FOSL.
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.
利用BP神经网络的智能性来实现滚动轴承故障的智能诊断。
The intelligent diagnosis to rolling bearing faults can be realized by the intellectual ability of BP neural network.
数控车床；智能故障诊断；贝叶斯网络；振动分析。
CNC lathe; intelligent fault-diagnosis; Bayesian Network; vibration analysis.
研究基于聚类分析的径向基神经网络用于中医舌诊诊断，构建一个中医舌诊智能诊断的神经网络模型。
Presents the RBF neural networks based on clustering analysis is applied in TCM inspection of tongue diagnosis, to construct a neural networks model of TCM inspection of tongue intelligent 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.
我们提供的智能型控制器线传感器，扩展其功能，包括供应在线监测，诊断和网络通信可编程逻辑与。
We offer a line of intelligent proximity sensors that extend their functionality to include supply line monitoring, diagnostics and network communication with a programmable logic controller.
本文以数控设备为对象，研究和开发了一个基于网络的数控设备故障智能诊断系统。
In this thesis, we take NC device as the research object and have developed an intelligent diagnosis system based on computer network.
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.
研究结果表明训练成功的BP网络可作为智能分类器对斜轴泵的常见故障进行识别和诊断。
According to the fault features extracted from the pump vibration via wavelet transform, the working conditions and the faults of the pump can be classified and identified by the BP neural networks.
基于智能互补融合观点，针对往复式空压机故障信息系统的不准确性和不完整性，设计了用于空压机故障分类的粗网络专家系统，对空压机系统故障做出准确的诊断。
The rough neural expert system is discussed in detail in this paper, which is applied to such an inaccurate system as the fault information of reciprocating air compressors.
基于智能互补融合观点，针对往复式空压机故障信息系统的不准确性和不完整性，设计了用于空压机故障分类的粗网络专家系统，对空压机系统故障做出准确的诊断。
The rough neural expert system is discussed in detail in this paper, which is applied to such an inaccurate system as the fault information of reciprocating air compressors.
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