Automated Classification of Power-Quality Disturbances Using SVM and RBF Networks

IEEE Transactions on Power Delivery ◽

10.1109/tpwrd.2006.874114 ◽

2006 ◽

Vol 21 (3) ◽

pp. 1663-1669 ◽

Author(s):

P. Janik ◽

T. Lobos

Keyword(s):

Power Quality ◽

Automated Classification ◽

Rbf Networks ◽

Power Quality Disturbances

Download Full-text

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 ◽

Author(s):

Ming Zhang ◽

Kai-Cheng Li ◽

Wei-Bing Hu

Keyword(s):

Power Quality ◽

Automated Classification ◽

S Transform ◽

Power Quality Disturbances

Download Full-text

Automated classification of power quality disturbances using RBF and SVM neural networks

2005 IEEE Russia Power Tech ◽

10.1109/ptc.2005.4524822 ◽

2005 ◽

Author(s):

P. Janik ◽

T. Lobos ◽

P. Schegner

Keyword(s):

Neural Networks ◽

Power Quality ◽

Automated Classification ◽

Power Quality Disturbances

Download Full-text

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

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

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 ◽

Power Quality Disturbances

Download Full-text

Combined classification of Power Quality Disturbances and Power System Faults

2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) ◽

10.1109/iceeot.2016.7755423 ◽

2016 ◽

Author(s):

Aslam Shaik ◽

A. Srinivasula Reddy

Keyword(s):

Power System ◽

Power Quality ◽

Power System Faults ◽

Power Quality Disturbances

Download Full-text

Localization and Classification of Power Quality Disturbances using Maximal Overlap Discrete Wavelet Transform and Data Mining based Classifiers∗∗Sponsor and financial support acknowledgment goes here. Paper titles should be written in uppercase and lowercase letters, not all uppercase.

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2016.03.093 ◽

2016 ◽

Vol 49 (1) ◽

pp. 437-442 ◽

Author(s):

Swarnabala Upadhyaya ◽

Sanjeeb Mohanty

Keyword(s):

Data Mining ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Power Quality ◽

Financial Support ◽

Discrete Wavelet ◽

Power Quality Disturbances

Download Full-text

Principal Component Analysis and CNN for Classification of Power Quality Disturbances

10.1109/upcon52273.2021.9667629 ◽

2021 ◽

Author(s):

Ananta Agarwalla ◽

Diya Dileep ◽

P. Jyothsana ◽

Purnima Unnikrishnan ◽

Karthik Thirumala

Keyword(s):

Principal Component Analysis ◽

Power Quality ◽

Principal Component ◽

Component Analysis ◽

Power Quality Disturbances

Download Full-text

Classification of Power-Quality Disturbances Using Deep Belief Network

2018 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR) ◽

10.1109/icwapr.2018.8521311 ◽

2018 ◽

Author(s):

Cui-Mei Li ◽

Zeng-Xiang Li ◽

Nan Jia ◽

Zhi-Liang Qi ◽

Jian-Hua Wu

Keyword(s):

Power Quality ◽

Deep Belief Network ◽

Belief Network ◽

Power Quality Disturbances

Download Full-text

Classification of power quality disturbances using Wavelet Transform and Optimized ANN

2015 18th International Conference on Intelligent System Application to Power Systems (ISAP) ◽

10.1109/isap.2015.7325522 ◽

2015 ◽

Author(s):

Muhammad Ijaz ◽

Md Shafiullah ◽

M. A. Abido

Keyword(s):

Wavelet Transform ◽

Power Quality ◽

Power Quality Disturbances

Download Full-text

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 ◽

Author(s):

Emir Turajlic ◽

Dzenan Softic

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Power Quality ◽

S Transform ◽

Power Quality Disturbances ◽

Artificial Neural

Download Full-text

A hybrid approach for detection and classification of power quality disturbances

2017 IEEE Power & Energy Society General Meeting ◽

10.1109/pesgm.2017.8274397 ◽

2017 ◽

Author(s):

P. C. Chang ◽

G. W. Chang ◽

M. H. Shih ◽

Y. Y. Chen ◽

Y. H. Hong ◽

...

Keyword(s):

Power Quality ◽

Hybrid Approach ◽

Power Quality Disturbances

Download Full-text