In order to optimize the design of MLP network structure for fault classification, an optimum approach based on fuzzy logic is presented.
为了优化用于故障分类的多层前馈网络结构配置，提出了一种基于模糊逻辑的优化方法。
Based on the main Board of physical fault classification, and then analyze the causes of physical and computer main Board, the common maintenance.
本文从主板的物理故障分类入手，分析了计算机主板发生物理故障的原因，介绍了常用的维修方法。
Dividing the working states of the equipment into three states has the higher accuracy for fault classification of the equipment than that of two-state models.
将设备运行状态划分为三种状态，比以往的两态模型对于设备的故障分类具有更高的准确性。
This paper studies the fault classification and diagnosis method of the double-bridge 12-pulse waveform controlled rectifier circuit based on pattern recognition.
研究了一种双桥并联可控整流电路的故障分类及诊断方法。
Based on the ship power plant, this paper firstly introduces the definition of fault, fault classification, and describes the process of finding fault reasons in practice.
本文以船舶动力装置为对象，介绍了故障定义、故障的分类，并阐述了船舶生产实践中故障原因的查找过程。
In the experiment, the fault classification accuracy of the weighted algorithm of DVDM and IVDM increase more than 10 percent. It shows this theory has upper reliability and precision.
通过实验及结果分析，显示加权后DVDM和IVDM算法的故障分类准确度增长10%以上，说明该理论算法具有较高的可靠性和准确度。
This technique has been eliminated the drawbacks of the type of mother function for fault classification purpose not only in machine condition monitoring, but also in other related areas.
这项技术用来消除机械状态监测以及其他相关领域的母函数故障分类的缺陷。
A new method of fault classification for mechanical system by means of support vector machine (SVM) is proposed and a multi-class SVM classifier based on binary classification was developed.
提出了一种利用支持向量机(SVM)对机械系统故障进行分类的新方法；以二值分类为基础，开发了基于支持向量机的多值分类器。
In this paper, a hybrid fuzzy neural network architecture is proposed for complex diagnosis objects. A series of fuzzy neural sub networks are integrated to perform the task of fault classification.
对于复杂的诊断对象，本文提出了一种复合模糊神经网络结构，该神经网络结构集成了一系列模糊神经子网络，来完成故障分类任务。
The fault diagnosis of power equipment can be looked as pattern classification problem. Each fault of power equipment is corresponding to a set of traits.
电力设备的故障诊断可以看成一个模式分类问题，每一个电力设备故障对应一组特征集。
Key points: classification of fault and fold.
重点：褶皱和断层的分类。
This is due to SVM can solve the small sample, nonlinear classification problem, which is the characteristics of the latent radar fault.
这是由于SVM可以很好地解决小样本、非线性分类问题，而这正是潜伏性雷达故障的特点。
Gas turbogenerator fault diagnosis can be treated as a pattern classification task.
燃气轮发电机组的故障诊断，实质上是一个模式分类问题。
Different models of neural networks were trained to choose the best performance network for pump impeller imbalance fault diagnosis and classification.
选择不同的中枢网络作为最好的网络进行叶轮不平衡故障诊断和分类。
This kind of classification that comes from the system of civil law has no actual senses to us. Our criminal code stipulation concerning fault can resolve the discernment stumper problem.
来自大陆法系的这种分类，对于我们没有实际意义，我国刑法关于罪过的规定就能解决认识错误问题。
The result of simulative experiment for power transformers fault diagnosis shows that the method can overcome the before-mentioned shortcomings and improve the accuracy of data classification.
电力变压器故障诊断的仿真实验结果表明，利用该分类方法可以提高数据分类的精确性。
The method realizes classification of fault by near-neighborhood criteria of pattern recognition and cellular ant algorithm.
该方法利用模式识别中的近邻准则，使用元胞蚂蚁算法实现故障的分类，达到故障诊断的目的。
The model categorizes the vibration fault according to its attributes, Narrows the range for searching fault by classification, then determines the fault by comprehensive multi-factor judgement.
该模型是按照故障征兆属性归类，通过分类识别缩小故障搜寻范围以利于故障的模糊诊断，然后再进行因子综合判断，对振动故障诊断的方法进行了研究。
Fault detection is a crucial part of the distributed fault tolerant system, and failure classification model is one of the most important factors to affect the performance of a fault detection system.
故障诊断是分布式并行环境下容错系统的关键部分，故障分类模型是影响故障诊断性能的重要因素之一。
Analysis of the power cable fault causes and classification of the power cable fault detection methods implemented to ensure the smooth flow of power supply to ensure supply reliability.
文章分析了电力电缆故障的原因及分类，探讨了电力电缆的故障实行的检测方法，保证了电力供应畅通、保证供电可靠性。
Edge detection has been extensively applied in a lot of fields, such as image processing, artificial intelligence, computer recognition, pattern recognition and classification, fault detection etc.
现已在图像处理、人工智能、计算机识别、模式识别与分类、故障检测等方面得到了广泛应用。
The twin screw extruder fault diagnosis by multi-fault classifier based on SVM is mainly discussed and the retest proves that this SVM really has preferable ability of classification.
诊断实例表明，基于支持向量机的多故障分类器对设备故障具有很好的分类效果。
Wavelet neural network, and realize curve fitting, data classification, fault diagnosis, learning faster than the traditional BP.
小波神经网络，实现曲线拟和，数据分类，故障诊断，学习速度快于传统BP。
Experimental results show that the designed classifier has many advantages of high training speed, short test time and high classification accuracy on fault diagnosis for rotor systems online.
将该方法应用于转子系统在线故障诊断中，结果表明，所设计的算法具有训练速度快、测试时间短、分类准确率高等特点。
The composite method saves more computing time than the wrapper method with holding the classification accuracy in data simulation and experiment on bearing fault feature selection.
在数值仿真和轴承故障特征选择中，采用新方法在保证诊断精度的同时，可以节省大量选择时间。
The diagnosis system is able to collect fault data on-line and analyse the fault off-line, which achieves classification of turbine shafting vibration fault and detect early slight fault.
该系统能够在线采集故障数据，并进行离线的故障分析，实现了汽轮机组轴系振动故障的分类和发现早期轻微故障的目的。
The diagnosis system is able to collect fault data on-line and analyse the fault off-line, which achieves classification of turbine shafting vibration fault and detect early slight fault.
该系统能够在线采集故障数据，并进行离线的故障分析，实现了汽轮机组轴系振动故障的分类和发现早期轻微故障的目的。
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