New Combined S-transform and Logistic Model Tree Technique for Recognition and Classification of Power Quality Disturbances

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) ◽

The Classification of Power Quality Disturbances using Statistical S-Transform and Probabilistic Neural Network

10.1109/odicon50556.2021.9428947 ◽

2021 ◽

Author(s):

Laxmipriya Samal ◽

Hemanta Kumar Palo ◽

Badri Narayan Sahu ◽

Debashisa Samal

Keyword(s):

Neural Network ◽

Power Quality ◽

Probabilistic Neural Network ◽

S Transform ◽

Classification of Power Quality Disturbances Using Artificial Neural Networks and a Logarithmically Compressed S-Transform

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-34481-7_74 ◽

2012 ◽

pp. 608-615 ◽

Cited By ~ 2

Author(s):

Emir Turajlic ◽

Dzenan Softic

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Power Quality ◽

S Transform ◽

Artificial Neural

2009 IEEE International Conference on Intelligent Computing and Intelligent Systems ◽

Classification of power quality disturbances using S-transform based artificial neural networks

10.1109/icicisys.2009.5357780 ◽

2009 ◽

Cited By ~ 6

Author(s):

Suriya Kaewarsa

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Power Quality ◽

S Transform ◽

Artificial Neural

Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network

IEEE Transactions on Power Delivery ◽

10.1109/tpwrd.2007.911125 ◽

2008 ◽

Vol 23 (1) ◽

pp. 280-287 ◽

Cited By ~ 294

Author(s):

S. Mishra ◽

C. N. Bhende ◽

B. K. Panigrahi

Keyword(s):

Neural Network ◽

Power Quality ◽

Probabilistic Neural Network ◽

S Transform ◽

Classification of Complex Power Quality Disturbances Using Optimized S-Transform and Kernel SVM

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2019.2952823 ◽

2020 ◽

Vol 67 (11) ◽

pp. 9715-9723 ◽

Cited By ~ 2

Author(s):

Qiu Tang ◽

Wei Qiu ◽

Yicong Zhou

Keyword(s):

Power Quality ◽

S Transform ◽

Complex Power ◽

Kernel Svm

Automated classification of power quality disturbances using the S-transform

2008 International Conference on Wavelet Analysis and Pattern Recognition ◽

10.1109/icwapr.2008.4635797 ◽

2008 ◽

Cited By ~ 5

Author(s):

Ming Zhang ◽

Kai-Cheng Li ◽

Wei-Bing Hu

Keyword(s):

Power Quality ◽

Automated Classification ◽

S Transform ◽

Classification of power quality disturbances with S-transform and artificial neural networks method

2017 25th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu.2017.7960216 ◽

2017 ◽

Cited By ~ 2

Author(s):

Seckin Karasu ◽

Zehra Sarac

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Power Quality ◽

S Transform ◽

Artificial Neural

Classification of power quality disturbances using Hyperbolic S-Transform

International Journal of Engineering Research and ◽

10.17577/ijertcon057 ◽

2018 ◽

Vol V6 (02) ◽

Author(s):

Mr. P. Hariramakrishnan ◽

Dr. S. Sendil Kumar ◽

Keyword(s):

Power Quality ◽

S Transform ◽

Detection and Classification of Power Quality Disturbances Using Double Resolution S-Transform and DAG-SVMs

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2016.2578518 ◽

2016 ◽

Vol 65 (10) ◽

pp. 2302-2312 ◽

Cited By ~ 87

Author(s):

Jianmin Li ◽

Zhaosheng Teng ◽

Qiu Tang ◽

Junhao Song

Keyword(s):

Power Quality ◽

S Transform ◽

Detection and classification of complex power quality disturbances using S-transform amplitude matrix-based decision tree for different noise levels

International Transactions on Electrical Energy Systems ◽

10.1002/etep.2286 ◽

2016 ◽

Vol 27 (4) ◽

pp. e2286 ◽

Cited By ~ 13

Author(s):

Arun Kumar Puliyadi Kubendran ◽

Ashok Kumar Loganathan

Keyword(s):

Decision Tree ◽

Power Quality ◽

Noise Levels ◽

S Transform ◽

Complex Power ◽

Amplitude Matrix