This paper presents a fault diagnosis method using artificial immune model.
提出一种基于人工免疫模型的故障诊断方法。
The article discusses problem of solving the soft fault diagnosis by artificial intelligence according to the invariable general characterization of the component in the circuit.
深入探讨并初步解决了根据元件软故障的统一特性，采用人工智能方法实现软故障的模式识别诊断的问题。
The article analyses original methods of DGA fault diagnose, include three-ratio method, artificial neural network method, Fuzzy Theory, diagnosing expert system, grey relational algorithm, et.
本文分析了原有的DGA故障诊断方法，包括三比值法、人工神经网络法、模糊理论、变压器诊断专家系统、灰色关联算法等。
The application of multi-layer feed-forward artificial neural network in fault equipment diagnosis includes feature value setting of equipment operation condition and fault judgment.
多层前馈人工神经网络在装备故障诊断中的应用含设备运行状态特征值设定和故障判定。
According to the theory of Artificial Neural Network and Expert system, a design conceit fault diagnosis and dealing system of substation based on Neural Network and Expert system is presented.
根据人工神经网络和专家系统理论，提出了基于人工神经网络和专家系统的变电站故障诊断和处理系统的设计构想。
Fault diagnosis method based on resource limited artificial immune system (RLAIS) is researched for reciprocating compressor valves.
研究了基于资源有限人工免疫系统(RLAIS)的往复压缩机气阀故障诊断方法。
The principle of artificial intelligence used in fault detection and diagnosis in the process of production was discussed.
讨论了利用人工智能技术来实现生产过程故障检测与诊断的原理。
Based on fuzzy logic theory and artificial neural networks, the method of the transformer fault diagnosis with fuzzy neural networks is presented.
基于模糊逻辑理论和人工神经元网络，提出了将模糊神经网络应用于变压器故障诊断的方法。
The study of fault diagnosis of virtual measurement system based on artificial neural network is primary work.
本论文是以基于人工神经网络的虚拟测量系统故障诊断的研究为主要内容。
The structure and algorithm of artificial neural network model were described, and the model and learning-procedure of mechanical fault diagnosis neural network were designed.
阐述了人工神经网络模型的一般结构和算法，并设计了机械故障诊断神经网络的模型和学习过程。
The paper describes the principle and method of fault diagnosis and treatment of injection mold using artificial intelligence technique.
论述了用人工智能技术对模具故障进行诊断和确定对策的原理和方法。
This paper mainly studies on the application of artificial intelligence technology on thermal fault monitoring of transformer substation.
本文主要研究人工智能技术在变电站热故障监测中的应用。
With development of electronic technology, computer technology and artificial intelligence, the electronic equipment fault diagnosis technology will get some new pulse.
近年来电子技术、计算机技术和人工智能技术的飞速发展，为电子设备故障诊断技术研究注入了新的活力。
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.
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。
In the end, the intelligent asynchronous motor fault diagnosis system combining information fusion with artificial network as well as expert knowledge system is presented.
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。
Artificial immune system analyses dimensionless indicators of time domain for concurrent failures, has drew a widespread law based on non-dimensional index for concurrent fault diagnosis.
人工免疫系统通过对多重并发故障时域无量纲指标进行分析研究，得到了一条基于无量纲指标并发故障诊断普遍适用的规律。
The typical faults of diesel injector were simulated and the pressure waves were measured with the pressure sensor clamped on high pressure line. Artificial neural network was used in fault diagnosis.
通过实验模拟喷油器的典型故障，用外卡式压力传感器测取高压油管的燃油压力波，并利用人工神经网络模型进行了故障诊断。
A modified associative memory model of Artificial Neural Network (ANN) is introduced into the fault diagnosis of computer numerical control machine tool.
提出了将一种改进的人工神经网络联想记忆模型应用于计算机数控机床的故障诊断方法。
For the limitations of traditional methods in the mechanical fault diagnosis, it is proposed in this paper that the artificial neural network is used in the mechanical fault diagnosis.
针对传统的机械故障诊断方法的局限性，提出将人工神经网络应用于机械故障诊断中。
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 principle and characteristics of model based fault diagnosis, and the limitations of other fault diagnosis approaches (rule based, based on artificial neural network, case based) were analyzed.
分析了基于模型的故障诊断方法的原理和特点以及其他故障诊断方法（基于规则、基于人工神经网、基于案例）的局限性。
An artificial neural network based expert system has been developed and is applied to aircraft turbofan engine fault diagnosis.
介绍了人工神经网络专家系统在航空涡轮风扇发动机故障诊断上的应用。
Currently, RST has been applied in many fields as artificial intelligence, machine learning, data mining, decision support and analysis, process control, pattern recognition, fault detection.
目前，粗糙集理论已被成功地应用在人工智能、机器学习、数据挖掘、决策支持与分析、过程控制、模式识别、故障检测等领域。
The situation of traffic flow in network paths was analyzed by metabolic sensitivity curve in artificial metabolic system and the fault bottleneck was gained.
以交通运输网络为例对网络化系统进行了建模分析，利用人工代谢系统的代谢灵敏度折线图对网络支路流量变化进行了分析，得到了故障产生的瓶颈位置。
This paper describes a new method for rotor fault diagnosis of electric machinery drag system, artificial neural network, which is based on BP algorithm.
介绍了一种基于BP算法的神经网络在电机转子常见故障诊断中的应用。
An artificial neural network for fault distinguishing by sampling halve is presented, and the pretreatment data are amplified.
介绍了一种基于二等分取样，并将预处理数据放大的故障判别神经网络。
In this paper, the theory and method of fault diagnosis expert system based on artificial neural network are studied, and its realizing process is concretely introduced.
研究了基于神经网络的故障诊断专家系统的理论和方法及具体实现过程。
In this paper, the theory and method of fault diagnosis expert system based on artificial neural network are studied, and its realizing process is concretely introduced.
研究了基于神经网络的故障诊断专家系统的理论和方法及具体实现过程。
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