Pattern classification is a kind of technology used in a lot of project fields including automatic control monitor, image recognition, troubled diagnose, supplies compound, medical diagnosis, etc.
模式分类是许多工程领域如自控监测、图像识别、故障诊断、物料配制、医疗诊断等领域广泛应用的一种关键技术。
By applying fuzzy pattern recognition and maximum membership rule, fault diagnosis model for condenser has been established and its accuracy for identifying faults is tested and verified.
应用模糊模式识别方法及最大隶属原则，建立了凝汽器故障诊断模型，并以实例验证该模型识别故障的准确性。
A novel method of pattern recognition and fault diagnosis in electrical machine based on the wavelet-neural network is proposed according to the frequency spectrum characteristics of vibration signal.
针对电机振动信号的频谱特点，提出基于小波神经网络技术的电机故障模式识别与诊断的新方法。
An expert diagnosis system is designed for self checking of the inherent resistance test system of SCR device with representation of production knowledge and fuzzy pattern recognition.
将产生式知识表示法和模糊模式识别方法用于晶闸管整流装置内阻测试系统的自检，组成了一个诊断专家系统。
Partial discharge pattern recognition is considered as an effective tool for insulation fault diagnosis on high voltage electric equipment.
局部放电模式识别是一种高电压设备绝缘故障诊断的有效方法。
This paper introduces three kinds of commonly used diagnosis methods, which are BP neural network method, fuzzy diagnosis method and, fuzzy pattern recognition method.
介绍了凝汽器的故障诊断常用的三种诊断方法，BP神经网络法、模糊诊断法、模糊模式识别法。
Currently the AFS theory has been applied in the many realms successfully, such as cluster analysis, pattern recognition and hitch diagnosis etc.
目前已经将AFS理论成功的应用在聚类分析、模式识别和故障诊断等领域。
Many functions such as pattern recognition, fault diagnosis and multi-objective optimization could be realized by the system.
该系统能实现模式识别、故障诊断、多目标优化等功能。
The extraction of effective feature vectors and pattern recognition are the key technique in the subject of mechanical condition monitoring and diagnosis.
有效特征向量的提取和状态识别是设备状态监测与故障诊断领域中的关键技术。
With the application of digital image processing technology and pattern recognition technology in the domain of medicine, it is possible to found a pleural effusions computer-aided diagnosis system.
随着数字图像处理技术和模式识别技术在医学领域的广泛应用，建立胸水涂片的计算机辅助诊断系统已成为可能。
The extraction of effective feature vector and pattern recognition is the key technique in the process of mechanical condition monitoring and diagnosis.
有效特征向量的提取和状态识别是设备状态监测与故障诊断中的关键技术。
In recent years, artificial neural network is widely applied in breakdown diagnosis, pattern recognition, hydrology forecast and so on.
近年来，人工神经网络广泛应用于故障诊断、模式识别、水文预报等领域。
A pattern recognition example and a medical diagnosis decision-making example are given to demonstrate the application of IVIFSP.
运用模式识别与医疗诊断案例进行对比。
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。
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。
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