Implementation of a Power Quality signal classification system using wavelet based energy distribution and neural network

Praveen Sebastian; Pramod Antony Dśa

doi:10.1109/ICPACE.2015.7274935

Implementation of a Power Quality signal classification system using wavelet based energy distribution and neural network

Praveen Sebastian, Pramod Antony Dśa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Citations (Scopus)

Abstract

This paper presents a classification system based on Wavelet Transform for normal Power Quality disturbances. The parameter used for the classification algorithm was energy distribution of detailed coefficient of Wavelet Transform up to 10 leveles of decomposition. Wavelet Transform parameters are effective in classification of disturbance waveforms. Artificial Neural Network was used for the classification purpose which gave satisfactory results. And the algorithm developed in MATLAB was interfaced with Data Acquisition devices to check its accuracy for online classification purpose.

Original language	English
Title of host publication	Proceedings of the 2015 IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	157-161
Number of pages	5
ISBN (Electronic)	9781479983704
DOIs	https://doi.org/10.1109/ICPACE.2015.7274935
Publication status	Published - 23-09-2015
Externally published	Yes
Event	IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015 - Bengaluru, India Duration: 12-08-2015 → 14-08-2015

Conference

Conference	IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015
Country/Territory	India
City	Bengaluru
Period	12-08-15 → 14-08-15

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Energy Engineering and Power Technology

Access to Document

10.1109/ICPACE.2015.7274935

Cite this

Sebastian, P., & Dśa, P. A. (2015). Implementation of a Power Quality signal classification system using wavelet based energy distribution and neural network. In Proceedings of the 2015 IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015 (pp. 157-161). [7274935] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPACE.2015.7274935

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title = "Implementation of a Power Quality signal classification system using wavelet based energy distribution and neural network",

abstract = "This paper presents a classification system based on Wavelet Transform for normal Power Quality disturbances. The parameter used for the classification algorithm was energy distribution of detailed coefficient of Wavelet Transform up to 10 leveles of decomposition. Wavelet Transform parameters are effective in classification of disturbance waveforms. Artificial Neural Network was used for the classification purpose which gave satisfactory results. And the algorithm developed in MATLAB was interfaced with Data Acquisition devices to check its accuracy for online classification purpose.",

author = "Praveen Sebastian and D{\'s}a, {Pramod Antony}",

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doi = "10.1109/ICPACE.2015.7274935",

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booktitle = "Proceedings of the 2015 IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015",

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note = "IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015 ; Conference date: 12-08-2015 Through 14-08-2015",

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Sebastian, P & Dśa, PA 2015, Implementation of a Power Quality signal classification system using wavelet based energy distribution and neural network. in Proceedings of the 2015 IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015., 7274935, Institute of Electrical and Electronics Engineers Inc., pp. 157-161, IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015, Bengaluru, India, 12-08-15. https://doi.org/10.1109/ICPACE.2015.7274935

Implementation of a Power Quality signal classification system using wavelet based energy distribution and neural network. / Sebastian, Praveen; Dśa, Pramod Antony.
Proceedings of the 2015 IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 157-161 7274935.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Dśa, Pramod Antony

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N2 - This paper presents a classification system based on Wavelet Transform for normal Power Quality disturbances. The parameter used for the classification algorithm was energy distribution of detailed coefficient of Wavelet Transform up to 10 leveles of decomposition. Wavelet Transform parameters are effective in classification of disturbance waveforms. Artificial Neural Network was used for the classification purpose which gave satisfactory results. And the algorithm developed in MATLAB was interfaced with Data Acquisition devices to check its accuracy for online classification purpose.

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Sebastian P, Dśa PA. Implementation of a Power Quality signal classification system using wavelet based energy distribution and neural network. In Proceedings of the 2015 IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 157-161. 7274935 doi: 10.1109/ICPACE.2015.7274935

Implementation of a Power Quality signal classification system using wavelet based energy distribution and neural network

Abstract

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All Science Journal Classification (ASJC) codes

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