Discrete Wavelet Transform and Fuzzy Logic Algorithm for Classification of Fault Type in Underground Cable

Advances in Fuzzy Logic and Technology 2017 - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-66827-7_52 ◽

2017 ◽

pp. 564-573 ◽

Cited By ~ 1

Author(s):

Suntiti Yoomak ◽

Chaichan Pothisarn ◽

Chaiyan Jettanasen ◽

Atthapol Ngaopitakkul

Keyword(s):

Fuzzy Logic ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Discrete Wavelet ◽

Fuzzy Logic Algorithm ◽

Underground Cable ◽

Fault Type

Download Full-text

Discrete wavelet transform and probabilistic neural network algorithm for classification of fault type in underground cable

2012 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2012.6358940 ◽

2012 ◽

Cited By ~ 1

Author(s):

A. Ngaopitakkul ◽

N. Suttisinthong

Keyword(s):

Neural Network ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Probabilistic Neural Network ◽

Discrete Wavelet ◽

Underground Cable ◽

Fault Type ◽

Network Algorithm ◽

Neural Network Algorithm

Download Full-text

Discrete wavelet transform and fuzzy logic algorithm for identification of fault types on transmission line

8th International Conference on Advances in Power System Control, Operation and Management (APSCOM 2009) ◽

10.1049/cp.2009.1756 ◽

2009 ◽

Cited By ~ 4

Author(s):

P. Chiradeja ◽

C. Pothisarn

Keyword(s):

Fuzzy Logic ◽

Wavelet Transform ◽

Transmission Line ◽

Discrete Wavelet Transform ◽

Discrete Wavelet ◽

Fuzzy Logic Algorithm

Download Full-text

An Application of Discrete Wavelet Transform and Support Vector Machines Algorithm for Classification of Fault Types on Underground Cable

2012 Third International Conference on Innovations in Bio-Inspired Computing and Applications ◽

10.1109/ibica.2012.21 ◽

2012 ◽

Cited By ~ 1

Author(s):

A. Ngaopitakkul ◽

C. Pothisarn ◽

S. Bunjongjit ◽

B. Suechoey

Keyword(s):

Wavelet Transform ◽

Support Vector Machines ◽

Discrete Wavelet Transform ◽

Support Vector ◽

Discrete Wavelet ◽

Underground Cable ◽

Vector Machines

Download Full-text

A discrete wavelet transform and fuzzy logic algorithm for identifying the location of fault in underground distribution system

2013 International Conference on Fuzzy Theory and Its Applications (iFUZZY) ◽

10.1109/ifuzzy.2013.6825475 ◽

2013 ◽

Author(s):

S. Bunjongjit ◽

A. Ngaopitakkul ◽

C. Pothisarn

Keyword(s):

Fuzzy Logic ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Distribution System ◽

Discrete Wavelet ◽

Fuzzy Logic Algorithm

Download Full-text

Improving Self-Balancing and Position Tracking Control for Ball Balancer Application with Discrete Wavelet Transform-Based Fuzzy Logic Controller

International Journal of Fuzzy Systems ◽

10.1007/s40815-020-00994-8 ◽

2021 ◽

Author(s):

Rupam Singh ◽

Bharat Bhushan

Keyword(s):

Fuzzy Logic ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Tracking Control ◽

Fuzzy Logic Controller ◽

Position Tracking ◽

Discrete Wavelet ◽

Position Tracking Control

Download Full-text

Compression, Denoising and Classification of ECG Signals using the Discrete Wavelet Transform and Deep Convolutional Neural Networks

2020 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) ◽

10.1109/spmb50085.2020.9353618 ◽

2020 ◽

Author(s):

M. Chowdhury ◽

K. Poudel ◽

Y. Hu

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Convolutional Neural Networks ◽

Discrete Wavelet ◽

Deep Convolutional Neural Networks ◽

Ecg Signals

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 ◽

Cited By ~ 10

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

Classification of meditation states through EEG: A method using discrete wavelet transform

10.1063/5.0001375 ◽

2020 ◽

Cited By ~ 1

Author(s):

Jen Looi Tee ◽

Swee King Phang ◽

Wei Jen Chew ◽

Siew Wei Phang ◽

Hou Kit Mun

Keyword(s):

Wavelet Transform ◽

Discrete Wavelet Transform ◽

Discrete Wavelet

Download Full-text

A Current Based Hybrid Algorithm using Discrete Wavelet Transform and Hilbert Transform for Detection and Classification of Power System Faults in the Presence of Solar Energy

2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) ◽

10.1109/sceecs48394.2020.6 ◽

2020 ◽

Cited By ~ 1

Author(s):

Mohd Zishan Khoker ◽

Om Prakash Mahela ◽

Gulhasan Ahmad

Keyword(s):

Wavelet Transform ◽

Solar Energy ◽

Power System ◽

Discrete Wavelet Transform ◽

Hilbert Transform ◽

Hybrid Algorithm ◽

Discrete Wavelet ◽

Power System Faults ◽

A Current

Download Full-text

A New Approach for Classification of Fault in Transmission Line with Combination of Wavelet Multi Resolution Analysis and Neural Networks

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v8.i1.pp505-512 ◽

2017 ◽

Vol 8 (1) ◽

pp. 505

Author(s):

Y Srinivasa Rao ◽

G. Ravi Kumar ◽

G. Kesava Rao

Keyword(s):

Neural Networks ◽

Wavelet Transform ◽

Transmission Line ◽

Discrete Wavelet Transform ◽

Discrete Wavelet ◽

New Approach ◽

The Neural Network ◽

Multi Resolution Analysis ◽

Resolution Analysis

An appropriate fault detection and classification of power system transmission line using discrete wavelet transform and artificial neural networks is performed in this paper. The analysis is carried out by applying discrete wavelet transform for obtained fault phase currents. The work represented in this paper are mainly concentrated on classification of fault and this classification is done based on the obtained energy values after applying discrete wavelet transform by taking this values as an input for the neural network. The proposed system and analysis is carried out in Matlab Simulink.

Download Full-text