本文提出一种基于思维进化算法的模糊神经网络变压器故障诊断方法。
This paper proposes a new transformer fault diagnostic method using fuzzy neural network based on mind evolutionary algorithm.
网络变压器模块市场需求量非常大，提高生产效率的主要瓶颈是，变压器绕组的漆包线焊接到输入输出引脚上。
Network transformer module market demand is very large, and increase productivity of the main bottleneck is that the transformer windings of the wire soldered to the input and output pins.
在网络中使用理想变压器元件等效双轴电介质与各向同性介质分界面处的场匹配条件。
The ideal transformers in a network equate mode match condition of the interface between the isotropic and biaxial medium.
配电变压器是配电网络中的重要电力设备，其运行数据是配电网络的基础和重要的数据。
Distribution transformer is important electric power equipment in the distribution network, whose operation data is important in electric power system automation.
本文分析了原有的DGA故障诊断方法，包括三比值法、人工神经网络法、模糊理论、变压器诊断专家系统、灰色关联算法等。
The article analyses original methods of DGA fault diagnose, include three-ratio method, artificial neural network method, Fuzzy Theory, diagnosing expert system, grey relational algorithm, et.
针对电力变压器在线监测与故障诊断问题，提出了基于多传感器信息融合与嵌入式网络相结合的解决方案。
Aim at the issue of on-line detection and fault diagnosis of power transformer, a project of multi-sensor in-formation fusion combined with embedded network is proposed.
提出并研究了电力变压器故障诊断的人工神经网络方法。
A neural network approach to power transformer fault diagnosis is proposed in this paper.
研究了径向基函数(RBF)神经网络的模型结构及其在电力变压器故障诊断中的实现方法。
In this paper, the model structure and the application of Radial Basis Function Neural Network (RBF NN) to fault diagnosis of power transformer is presented.
介绍了宽带脉冲变压器设计基本参数要求，及应用于各种通信、网络技术的基本特性。
This article mainly introduces the basic parameter requirement of the wide-band pulse transformers and the basic characters of transformer that used in communication and network technology.
提出了一种用于脉冲电镀电源的神经网络控制器，并对脉冲变压器建立了数学模型。
A control method based on neural network for pulse plating power is presented, and a mathematical model of the pulse transformer is established.
提出了一种基于网络函数的VF TO下变压器绕组响应计算的有效方法。
An efficient method is presented for calculating the response of transformer windings under VFTO based on network function in this paper.
同时利用贝叶斯网络实现概率推理，便于描述故障特征的变化及对变压器故障原因的快速分析。
At the same time, probability reasoning can be realized by BN, which can be used to describe changes of fault symptoms and analyze fault reasons of transformer.
该系统控制策略以九区图为基础，并且在容易引起频繁动作的边界上采用人工神经网络预测变压器分接头调节和电容器投切后的电压无功，以决定采用何种控制方式。
The control strategy is based on nine-zone diagram and combined with artificial neural network, which makes a decision about the change of transformer taps and capacitor switching.
探讨了人工神经网络技术在检测变压器绕组变形的频率响应法中的应用。
The application of the artificial neural network technique to the Frequency Response Analysis method (FRA) which is used to detect transformer winding deformation is presented.
TWACS是一种基于配电网络的新型通讯技术，它利用独特的调制解调技术可以无需外加设备穿越变压器进行跨区域通讯。
TWACS is a new communication technology based on distribution networks, which used special modulation and demodulation to cross transformer without additional equipment.
预测结果表明：改进的三层BP神经网络能够较好地实现变压器绕组热点温度预测。
Simulation results show that the improved three-layer BP neural network can implement transformer winding hot spot temperature prediction well.
通讯及宽带网络用宽带脉冲变压器也担当起“重任”，成为宽带网络产品的核心元件之一。
Especially, the transformers that are used in telecom and wideband networks act as an important part and become a pith of parts.
针对超高压、大容量电力变压器的早期潜伏性故障，提出了一种基于数学形态学融合多神经网络的故障诊断新方法。
Aiming at early stage latent faults of EHV large capacity transformers, a new fault diagnosis method based on mathematical morphology combined with multiple neural networks is presented.
基于模糊逻辑理论和人工神经元网络，提出了将模糊神经网络应用于变压器故障诊断的方法。
Based on fuzzy logic theory and artificial neural networks, the method of the transformer fault diagnosis with fuzzy neural networks is presented.
提出了基于贝叶斯网络的变压器状态综合评估方法，建立了贝叶斯网络状态评估模型。
We propose the method for Bayesian network based transformer synthesized condition evaluation and devise the Bayesian network condition evaluation model.
并把改进的粒子群优化算法和BP神经网络相结合，应用于变压器故障检测中。
Otherwise, the authors combined MDPSO and BP neural network and applied it to the diagnosis of power transformer.
PowerCommand网络利用Manchester编码使信号不受极性影响，信号通过变压器传送到网络数据线的速度是78KBPS。
PowerCommand Networks use Manchester Encoding that makes the signal insensitive to polarity. The signal is transformer-coupled to the network data wire at a rate of 78 KBPS.
提出一种基于进化策略算法的人工神经网络法对电力变压器故障进行诊断。
An evolutionary strategy algorithm based on neural network to diagnose power transformer faults is proposed.
电源主回路主要由飞轮脉冲发电机、整流变压器、晶闸管变流设备、硅整流器、开关网络等组成。
The main circuit of power supply is made up of pulsed generators with flywheel, rectifier transformers, thyristor converters, diode rectifiers and switches.
研究结果表明，人工神经网络对油纸变压器绝缘放电有足够的识别能力。
The investigation shows that ANN has enough ability to recognize different types of discharge of oil-paper insulation in transformers.
对于经过多重变压器耦合的电力系统复杂网络，惯常采用归算到同一电压级或标么值下去进行计算的方法。
Calculating different voltage grade networks of magnetic coupling, is used to convert into a voltage grade or standard system of unit.
依据人工神经网络的逼近能力，提出了一种基于人工神经网络模型的变压器保护新原理。
According to the approach ability of artificial neural network, a novel transformer protection based on the artificial neural network model is proposed.
依据人工神经网络的逼近能力，提出了一种基于人工神经网络模型的变压器保护新原理。
According to the approach ability of artificial neural network, a novel transformer protection based on the artificial neural network model is proposed.
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