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- A new approach combining S-transform and Extension Neural Network(ENN) to classify power quality disturbances is proposed in this paper. 提出了一种基于S变换和扩张神经网络的电能质量扰动分类方法。
- A new method of power quality disturbances detection and identification based on ridges of adaptive optimal kernel time-frequency distribution(AOK TFR) plain is presented. 针对目前电能质量扰动检测方法的局限性,提出了一种基于时频平面脊信息提取的电能质量扰动检测识别新方法。
- A new approach combining second generation wavelet transform (SGWT) and discrete hidden Markov models(DHMM)is proposed to classify power quality disturbances (PQD) in this paper. 提出了一种将第二代小波变换和离散隐马尔可夫模型相结合的电能质量扰动分类方法。
- Chen Xiangxun,Liu Bing,Zhao Bo.Haar wavelet-based modified phasor to detect and quantify power quality disturbances[J].Proceedings of the CSEE,2006,26(24):37-42(in Chinese). [2]陈祥训;刘兵;赵波.;分析电能质量扰动的实小波域修正相子法[J]
- duration power quality disturbances 电能质量扰动检测
- short duration power quality disturbances (SDPQD) 短时电能质量扰动
- power quality disturbances (PQD) 电能质量扰动
- A multiclass support vector machine suitable for short duration power quality disturbance is designed. 设计了适用于短时电能质量扰动的支持向量机多值分类器。
- Aimed at the different characteristics of power quality disturbance,this paper presents a new method for classification of transient power quality. 针对短时电能质量变化和暂态扰动现象的不同特点,提出了一种暂态电能质量分类的新方法。
- Therefore,and approach to the detection of power quality disturbance using short duration Lipschitz exponent is presented. 为此提出用短时李氏指数检测电能质量扰动的方法。
- This thesis is mainly concerned with problems of power quality disturbance signal"s analysis and classifies by rule-based expert system. 本文主要研究了应用规则基专家系统对电能质量信号进行分类。
- EXPERT PROBABILITY CLASSIFICATION FOR POWER QUALITY DISTURBANCES 电能质量扰动的专家概率分类器模型
- Considering the actual power quality disturbance, the occurrence of the sags and the determination of the voltage injection limitation are discussed also. 结合实际电能质量扰动信号的特征 ,给出了判断电压凹陷发生与否以及是否超出补偿装置补偿能力的措施。
- A new classification method for power quality disturbance (PQD) based on singular value(SV) feature vectors of S-transform (ST) time-frequency matrixes (TFM) has been proposed. 提出了一种基于S变换时频矩阵奇异值特征向量的电能质量扰动分类方法。
- In order to analyze and evaluate power quality,it is necessary to detect the begin-end time and continuance time of power quality disturbance which are considered as important properties for describing the disturbance. 电能质量扰动起止时刻和持续时间是描述扰动的重要属性,为了对电能质量进行分析与评估,需要对其进行检测。
- ADALINE and Its Application in Power Quality Disturbances Detection and Frequency Tracking 自适应线性神经元在电能质量扰动诊断和频率跟踪中的应用
- OPTIMAL DIGITAL LOW-PASS DIFFERENTIATOR FOR POWER QUALITY DISTURBANCES SIGNAL PROCESSING 用于处理电能质量信号的最优低通差分器的研究
- A simple and practical method of measuring short duration power quality disturbances 一种简单实用的电能质量扰动检测方法
- WAVELET-BASED MEASUREMENTS AND CLASSIFICATION OF SHORT DURATION POWER QUALITY DISTURBANCES 采用小波技术的几种电能质量扰动的测量与分类方法
- Haar Wavelet-Based Modified Phasor to Detect and Quantify Power Quality Disturbances 分析电能质量扰动的实小波域修正相子法
