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期刊论文 [7]
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2019 [8]
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Classifying Power Quality Disturbances Based on Phase Space Reconstruction and a Convolutional Neural Network
期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9
作者:
Cai, Kewei
;
Hu, Taoping
;
Cao, Wenping
;
Li, Guofeng
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浏览/下载:8/0
  |  
提交时间:2019/12/02
convolution neural network (CNN)
deep learning
power quality disturbance (PQD)
phase space reconstruction (PSR)
smart grid
A Novel Hybrid Islanding Detection Method for Grid-Connected Microgrids With Multiple Inverter-Based Distributed Generators Based on Adaptive Reactive Power Disturbance and Passive Criteria.
期刊论文
IEEE Transactions on Power Electronics, 2019, 卷号: Vol.34 No.9, 页码: 9342-9356
作者:
Chen, Xiaolong
;
Li, Yongli
;
Crossley, Peter
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  |  
浏览/下载:24/0
  |  
提交时间:2019/11/21
Adaptive reactive power disturbance (RPD)
Generators
hybrid islanding detection
IEEE Standards
inverter-based distributed generator (IBDG)
Islanding
Microgrids
Power quality
Reactive power
Synchronization
A Comprehensive Power Quality Control Strategy for Microgrid Based on Three-phase Multi-function Inverters
期刊论文
Dianwang Jishu/Power System Technology, 2019, 卷号: Vol.43 No.4, 页码: 1211-1219
作者:
Sun, G.
;
Li, Y.
;
Jin, W.
;
Gao, Y.
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  |  
浏览/下载:7/0
  |  
提交时间:2019/11/21
Active disturbance rejection control
Droop control
Entropy-Shapely quadratic weight correction
Three-phase multi-function inverters
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
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/13
Dictionary
learning
disturbance
classification
power
quality
sparse
decomposition
A Sequence-to-Sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance
期刊论文
2019, 卷号: 15, 页码: 4481-4493
作者:
Deng, Yaping
;
Wang, Lu
;
Jia, Hao
;
Tong, Xiangqian
;
Li, Feng
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浏览/下载:9/0
  |  
提交时间:2019/12/20
Bidirectional gated recurrent unit (Bi-GRU)
deep learning
power quality disturbance (PQD)
sequence-to-sequence model
time location
type recognition
Power quality disturbance identification method based on multi-domain feature fusion
会议论文
14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019, June 19, 2019 - June 21, 2019
作者:
Lifen, Chen
;
Ke, Zhu
;
Guoping, Sun
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浏览/下载:3/0
  |  
提交时间:2019/12/31
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
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浏览/下载:8/0
  |  
提交时间:2021/02/22
Non-stationary signals
sparse S-transform (SST)
scaling method
fuzzy decision tree
pattern classification.
Integrated optomechanical analyses and experimental verification for a thermal system of an aerial camera
期刊论文
Applied Optics, 2019, 卷号: 58, 期号: 26, 页码: 6996-7005
作者:
Z.P.Xue
;
C.X.Wang
;
Y.Yu
;
P.P.Wang
;
H.Y.Zhang
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浏览/下载:0/0
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提交时间:2020/08/24
Optics
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