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A highly accurate and fast power quality disturbances classification based on dictionary learning sparse decomposition
期刊论文
Transactions of the Institute of Measurement and Control, 2019, 卷号: Vol.41 No.1, 页码: 145-155
作者:
Delong Cai
;
Kaicheng Li
;
Shunfan He
;
Yuanzheng Li
;
Yi Luo
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/13
Dictionary
learning
disturbance
classification
power
quality
sparse
decomposition
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition
期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 398-412
作者:
N. R. Nayak
;
P. K. Dash
;
R. Bisoi
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2021/02/22
Non-stationary signals
sparse S-transform (SST)
scaling method
fuzzy decision tree
pattern classification.
Identification of Power Quality Disturbance Sources using Gradient Boosting Decision Tree
会议论文
Xi'an, China, China, 30 Nov.-2 Dec. 2018
作者:
Pan, Cheng
;
Tan, Jie
;
Feng, Dandan
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  |  
浏览/下载:105/0
  |  
提交时间:2020/09/25
gradient boosting decision tree , power quality , identification , disturbance sources
Novel Method Based on Variational Mode Decomposition and a Random Discriminative Projection Extreme Learning Machine for Multiple Power Quality Disturbance Recognition
期刊论文
IEEE Transactions on Industrial Informatics, 2018
作者:
Zhao, Chen
;
Kaicheng, Li
;
Li, Yuanzheng
;
Wang, Lingyun
;
Luo, Yi
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  |  
浏览/下载:2/0
  |  
提交时间:2019/11/19
Classification
Computational modeling
Discriminative Projection
Electronic mail
Extreme learning machine
Feature extraction
Multi-label
Multiple power quality disturbance
Neural networks
Power quality
Prediction algorithms
Support vector machines
Variational mode decomposition
Power Quality Disturbances Classification Using Compressive Sensing and Maximum Likelihood
期刊论文
IETE TECHNICAL REVIEW, 2018, 卷号: 35, 期号: 4, 页码: 359-368
作者:
Liu, Hui[1]
;
Hussain, Fida[2]
;
Shen, Yue[3]
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/24
Compressive sensing
Maximum likelihood
Power quality disturbance classification
Sparse representation
Complex power quality disturbances classification via curvelet transform and deep learning
期刊论文
ELECTRIC POWER SYSTEMS RESEARCH, 2018, 卷号: 163, 页码: 1-9
作者:
Liu, Hui[1]
;
Hussain, Fida[2]
;
Shen, Yue[3]
;
Arif, Sheeraz[4]
;
Nazir, Aamir[5]
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/24
Curvelet transform
Singular spectrum analysis
Deep learning
Power quality disturbance classification
Energies, Vol. 10, Pages 107: Power Quality Disturbance Classification Using the S-Transform and Probabilistic Neural Network
期刊论文
Energies, 2017, 卷号: Vol.10 No.1, 页码: 107
作者:
Wang, H.a,b
;
Wang, P.a
;
Liu, T.c
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  |  
浏览/下载:8/0
  |  
提交时间:2019/11/21
Detection and Identification of Transient Power Quality Disturbance
会议论文
作者:
Hao, Xiaohong
;
Cao, Juan
;
Han, Yufang
;
Gu, Qun
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浏览/下载:0/0
  |  
提交时间:2019/11/15
Disturbance signals
Wavelet transform
Generalized S transform
Rank-WSVM
Classification for hybrid power quality disturbance based on STFT and its spectral kurtosis
期刊论文
Dianwang Jishu/Power System Technology, 2016, 卷号: 40, 期号: 10
作者:
Huang, Jianming
;
Qu, Hezuo
;
Li, Xiaoming
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Classification for Short Duration Disturbances Based on Row-by-row Similarity of Generalized S-Transform Modulus Matrix
期刊论文
PROGRESS IN POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2012, 卷号: Vol.354-355, 页码: 913
作者:
Xu, Fangwei
;
Yang, Honggeng
;
Liu, Yamei
;
Li, Lanfang
;
Ma, Jishan
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  |  
浏览/下载:1/0
  |  
提交时间:2019/02/25
Power quality disturbance
Generalized S-Transform
Similarity
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