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。
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。
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。
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。
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。
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。
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。
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。
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。
Thus the invention provides a data classification method and apparatus easily packaged without reducing the judgment accuracy in an application to fault detection and fault diagnosis.
从而提供一种在应用于检查异常及诊断异常时 不会降低判断的精确度、且易于组装的数据分类装置。
Neural network and hierarch classification method in fault diagnosis are studied. Neural network technology connected with hierarch classification model is to realize hierarch diagnosis.
对神经网络和故障诊断的层次分解模型进行了研究，把神经网络技术和层次分解模型相结合，利用神经网络来实现分层诊断。
Neural network and hierarch classification method in fault diagnosis are studied. Neural network technology connected with hierarch classification model is to realize hierarch diagnosis.
对神经网络和故障诊断的层次分解模型进行了研究，把神经网络技术和层次分解模型相结合，利用神经网络来实现分层诊断。
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