此模型可用于模式识别和故障诊断。
This model can apply to pattern identification and fault diagnosis.
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。
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.
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。
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.
AFS理论已初步应用于数据挖掘，模式识别，故障诊断等领域。
AFS theory has been applied to data mining, pattern recognition and failure diagnosis.
燃气轮发电机组的故障诊断，实质上是一个模式分类问题。
Gas turbogenerator fault diagnosis can be treated as a pattern classification task.
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。
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.
故障诊断是计算机模式识别领域的一个活跃课题。
Fault diagnosis is an active subject in the area of computer pattern recognition.
该文介绍了BP网络的学习过程以及从模式识别角度应用BP神经网络作为分类器进行机械故障诊断。
The paper introduces the studying process of the BP network and USES the BP network for the mechanical failure diagnoses as assorted organ in the mode identification.
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。
Partial discharge pattern recognition is considered as an effective tool for insulation fault diagnosis on high voltage electric equipment.
该系统能实现模式识别、故障诊断、多目标优化等功能。
Many functions such as pattern recognition, fault diagnosis and multi-objective optimization could be realized by the system.
将灰色系统理论应用于设备的故障诊断，较好地解决了设备状态预测和故障模式识别的问题。
By applying the theory of grey system to diagnosing equipment breakdown, the problems of state prediction and trouble-mode recognition of equipment can be solved.
现有远程故障诊断系统常集中于对系统诊断模式和方法研究。
The research on the remote fault-diagnosis system in existence is often centered on the diagnosis model and method.
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。
Currently the AFS theory has been applied in the many realms successfully, such as cluster analysis, pattern recognition and hitch diagnosis etc.
孙才新。郭俊峰。廖瑞金变压器油中溶解气体分析中的模糊模式多层聚类故障诊断方法的研究。
E Lin. J M Ling. C L Huang An expert system systems for transformer fault diagnosis using dissolved gas analysis.
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。
In recent years, artificial neural network is widely applied in breakdown diagnosis, pattern recognition, hydrology forecast and so on.
这些模式和故障诊断树都是为快速查找飞行器故障服务的，可以有效地提高飞行器试验的成功率。
These patterns and failure diagnostic tree both have served a search Vehicle failure quickly, could made a success of Vehicle experiment on it effectively in practical.
针对故障诊断中计算量大，模式分类复杂的问题，提出了一种基于粗糙集的分形容错故障诊断方法。
To solve the problem of complex computing and classifying of patterns in fault diagnosis, a fractal fault-tolerant diagnosis method based on rough reduction is presented.
对实际旋转机械故障振动信号的分析结果表明，该方法能有效避免固有模式函数间模式混叠，提高故障诊断效果。
This method can effectively eliminate mode mixing of IMF and improve the quality of fault diagnosis through analyzing vibrating signal of rotating machine.
在泵系统故障诊断与监测中的应用表明，混合型神经网络能可靠地进行水泵机组故障模式的识别。
Its application to fault diagnosis and state monitoring for a pump system shows that the hybrid neural network may recognize the fault modes in pump units reliably.
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。
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BP网络的基本原理，研究了基于神经网络的故障诊断方法，建立了风机常见故障模式样本。
The basic principle of BP network is introduced, the trouble diagnosis method based on neural network is researched. An usual trouble mode sample book for fan is established.
本文根据机械设备故障诊断系统的特性和现有诊断方法的不足，阐述了基于模式识别的故障诊断方法。
Considering the characteristics of the mechanical equipment and the weakness of the existing diagnosis methods, a new failure detection based on recognition analysis is defined.
综合信号处理及模式识别理论，根据柴油机振动信号的特点，提出了一种柴油机气门故障诊断综合方法。
A new diagnosis method for diesel engine faults is presented, which is based on the principle of mixing signal processing and model-recognition.
论文提出了在大型数据库中，为飞行器故障诊断的KDD故障诊断树和知识演变模式。
In this paper, the authors proposes a failure diagnostic tree and knowledge evolutionary patterns for the vehicle's failure diagnosis using KDD in large scale databases.
为了避免经验模式分解(EMD)过程中不同时间尺度函数间的模式混叠，采用基于高斯白噪声加入的经验模式分解方法，并将之应用于旋转机械故障诊断中。
The EMD added Gauss white noise is proposed to avoid mode mixing of different time-scale IMF, and is applied in fault diagnosis for rotating machine.
为了避免经验模式分解(EMD)过程中不同时间尺度函数间的模式混叠，采用基于高斯白噪声加入的经验模式分解方法，并将之应用于旋转机械故障诊断中。
The EMD added Gauss white noise is proposed to avoid mode mixing of different time-scale IMF, and is applied in fault diagnosis for rotating machine.
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