Fault pattern recognition of rolling bearing is studied.
对滚动轴承的故障模式识别方法进行了研究。
Finally, the paper used particle swarm optimized neural network into fault pattern recognition.
最后将粒子群算法优化神经网络引入故障模式识别中。
A fault pattern recognition method of power electronic circuits based on two wavelet neural networks is presented.
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。
The result indicates that based on CP neural network, the fault pattern recognition system has strong nonlinear mapping ability, therefore it can be used to correctly classify the mechanical faults.
结果表明，以CP神经网络构筑的故障模式识别器有很强的非线性映射能力，可对机械设备故障模式进行正确分类。
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。
Fault diagnosis is an active subject in the area of computer pattern recognition.
故障诊断是计算机模式识别领域的一个活跃课题。
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。
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。
SVM applications, such as pattern recognition, function approaching, time series prediction, fault prediction and recognition, information security, power system and power electronics, are described.
归纳了支持向量机在诸如模式识别、函数逼近、时间序列预测、故障预测和识别、信息安全、电力系统以及电力电子领域中的应用。
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。
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。
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。
Because neural networks have a very strong ability in pattern recognition, an NN classifier is used in the multi-parameter recognition of fault signals.
充分利用了神经网络极强的模式分类能力，用神经网分类器对故障信号进行多参量识别。
It provided references of programming and developing of nearby coal seam No. 12-2, fault extent recognition and even minefield stress pattern distribution research.
对周边12 - 2煤层的规划开发、断层样式的认识乃至井田应力场分布的研究提供了依据。
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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