A classification method for complex power quality disturbances using EEMD and rank wavelet SVM
Z Liu, Y Cui, W Li - IEEE Transactions on Smart Grid, 2015 - ieeexplore.ieee.org
This paper aims to develop a combination method for the classification of power quality
complex disturbances based on ensemble empirical mode decomposition (EEMD) and …
complex disturbances based on ensemble empirical mode decomposition (EEMD) and …
Methodologies in power systems fault detection and diagnosis
Power systems frequently experience variations in their operation, which are mostly
manifested as transmission line faults. Over the past decade, various techniques of fault …
manifested as transmission line faults. Over the past decade, various techniques of fault …
Power quality disturbances classification using compressive sensing and maximum likelihood
H Liu, F Hussain, Y Shen - IETE Technical Review, 2018 - Taylor & Francis
This paper presents a newly developed compressive sensing (CS), maximum likelihood
(ML), and rule-based method for classification of power quality disturbances (PQDs). The …
(ML), and rule-based method for classification of power quality disturbances (PQDs). The …
一种基于时频域多特征量的电能质量混合扰动分类新方法
张杨， 刘志刚 - 中国电机工程学报, 2012 - cqvip.com
针对电能质量混合扰动分类问题, 提出一种基于时频域多特征量的分类新方法.
首先利用聚类经验模型分解方法和改进不完全S 变换对扰动信号进行处理, 并提取9 …
首先利用聚类经验模型分解方法和改进不完全S 变换对扰动信号进行处理, 并提取9 …
基于多标签Rank-WSVM 的复合电能质量扰动分类
张巧革， 刘志刚， 朱玲， 张杨 - 中国电机工程学报, 2013 - cqvip.com
该文提出一种多标签排位小波支持向量机(rank wavelet support vector machine, Rank-
WSVM), 并将其应用于电能质量复合扰动分类中. Rank-WSVM 将小波技术与多标签排位支持 …
WSVM), 并将其应用于电能质量复合扰动分类中. Rank-WSVM 将小波技术与多标签排位支持 …
基于ITD 和K 均值聚类的电能质量扰动分析与识别
仇新艳， 李付亮 - 电力系统及其自动化学报, 2015 - cqvip.com
将固有时间尺度分解ITD (intrinsic time-scale decomposition) 与K 均值聚类算法相结合,
提出一种新的电能质量扰动分析与识别方法. 首先, 对电能质量扰动信号作ITD 分解 …
提出一种新的电能质量扰动分析与识别方法. 首先, 对电能质量扰动信号作ITD 分解 …
[图书][B] Event and intrusion detection systems for cyber-physical power systems
U Adhikari - 2015 - search.proquest.com
High speed data from Wide Area Measurement Systems (WAMS) with Phasor Measurement
Units (PMU) enables real and non-real time monitoring and control of power systems. The …
Units (PMU) enables real and non-real time monitoring and control of power systems. The …
多特征组合及优化SVM 的电能质量扰动识别
韩刚， 张建文， 禇鑫， 周贤姣 - 电力系统及其自动化学报, 2015 - cqvip.com
提出一种基于多特征组合及粒子群优化的支持向量机(SVM) 的电能质量扰动识别方法.
该方法采用小波变换和S 变换提取各扰动信号特征向量, 采用粒子群(PSO) …
该方法采用小波变换和S 变换提取各扰动信号特征向量, 采用粒子群(PSO) …
Wavelet based detection of power quality disturbance-A case study
J Christy, XJ Vedamani… - … conference on signal …, 2011 - ieeexplore.ieee.org
This paper presents an effective method for Detection and classification of power quality
disturbances using wavelet features. Wavelet transform is one of the signal processing …
disturbances using wavelet features. Wavelet transform is one of the signal processing …
[图书][B] Cybersecurity testing and intrusion detection for cyber-physical power systems
S Pan - 2014 - search.proquest.com
Power systems will increasingly rely on synchrophasor systems for reliable and high-
performance wide area monitoring and control (WAMC). Synchrophasor systems greatly use …
performance wide area monitoring and control (WAMC). Synchrophasor systems greatly use …