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Original Articles

Comparison of Fault Classification Methods Based on Wavelet Analysis and ANN

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Pages 47-60 | Accepted 28 Mar 2005, Published online: 23 Feb 2007

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (4)

Bilal Djamal Eddine Cherif, Azeddine Bendiabdellah & Mostefa Tabbakh. (2020) An Automatic Diagnosis of an Inverter IGBT Open-Circuit Fault Based on HHT-ANN. Electric Power Components and Systems 48:6-7, pages 589-602.
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Anamika Yadav & Aleena Swetapadma. (2016) A Finite-state Machine Based Approach for Fault Detection and Classification in Transmission Lines. Electric Power Components and Systems 44:1, pages 43-59.
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Maryam Mirzaei, Mohd Zainal Abidin Ab. Kadir, Hashim Hizam & Ehsan Moazami. (2011) Comparative Analysis of Probabilistic Neural Network, Radial Basis Function, and Feed-forward Neural Network for Fault Classification in Power Distribution Systems. Electric Power Components and Systems 39:16, pages 1858-1871.
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SimiP. Valsan & K.S. Swarup. (2008) Fault Detection and Classification Logic for Transmission Lines Using Multi-resolution Wavelet Analysis. Electric Power Components and Systems 36:4, pages 321-344.
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Articles from other publishers (18)

Tuba AĞIR. (2022) Using machine learning algorithms for classifying transmission line faults. DÜMF Mühendislik Dergisi.
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Vyacheslav V. Andreev, Leonid A. Slavutskii & Elena V. Slavutskaya. (2022) FEED FORWARD NEURAL NET SIGNAL PROCESSING: APPROXIMATION AND DECISION MAKING. Vestnik Chuvashskogo universiteta:1, pages 14-22.
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Leonid A. Slavutskii & Elena V. Slavutskaya. (2021) CHOOSING A NEURAL NETWORK STRUCTURE FOR SIGNAL PROCESSING AS AN EXPERIMENT PLANNING. Vestnik Chuvashskogo universiteta:3, pages 123-132.
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Sergey Ivanov, Maxim Nikandrov & Aleksandr Lariukhin. (2021) Neuro Algorithm Accuracy Evaluation for The Anomalies Detecting in Overcurrent Protection Operation. Neuro Algorithm Accuracy Evaluation for The Anomalies Detecting in Overcurrent Protection Operation.
Sergey O. Ivanov, Aleksandr A. LariukhinMaxim V. NikandrovLeonid A. Slavutskii. (2021) ACCURACY ESTIMATION FOR OPERATING CHARACTERISTICS NEUROMODELING OF THE OVERCURRENT PROTECTION IN A THREE PHASE MAINS. Vestnik Chuvashskogo universiteta:1, pages 68-77.
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Adel Afia, Chemseddine Rahmoune, Djamel Benazzouz, Boualem Merainani & Semcheddine Fedala. (2020) New intelligent gear fault diagnosis method based on Autogram and radial basis function neural network. Advances in Mechanical Engineering 12:5, pages 168781402091659.
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V. Ashok & Anamika Yadav. (2019) A Protection Scheme for Cross-Country Faults and Transforming Faults in Dual-Circuit Transmission Line Using Real-Time Digital Simulator: A Case Study of Chhattisgarh State Transmission Utility. Iranian Journal of Science and Technology, Transactions of Electrical Engineering 43:4, pages 941-967.
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Wenyun Ju, Yajun Wang & Alberto Del Rosso. (2019) Average Wavelet Energy-Based Method for Fault Classification in Transmission Lines. Average Wavelet Energy-Based Method for Fault Classification in Transmission Lines.
V. Ashok, A. Yadav & Vinod Kumar Naik. 2019. Soft Computing in Data Analytics. Soft Computing in Data Analytics 307 317 .
Debani Prasad Mishra & Papia Ray. (2017) Fault detection, location and classification of a transmission line. Neural Computing and Applications 30:5, pages 1377-1424.
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Haidar Samet, Amin Shabanpour-Haghighi & Teymoor Ghanbari. (2017) A fault classification technique for transmission lines using an improved alienation coefficients technique. International Transactions on Electrical Energy Systems 27:1, pages e2235.
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Anamika Yadav, Yajnaseni Dash & V. Ashok. (2016) ANN based directional relaying scheme for protection of Korba-Bhilai transmission line of Chhattisgarh state. Protection and Control of Modern Power Systems 1:1.
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Aleena Swetapadma & Anamika Yadav. (2016) Protection of parallel transmission lines including inter-circuit faults using Naïve Bayes classifier. Alexandria Engineering Journal 55:2, pages 1411-1419.
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Aleena Swetapadma & Anamika Yadav. (2016) Time domain complete protection scheme for parallel transmission lines. Ain Shams Engineering Journal 7:1, pages 169-183.
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Salah Sabry Daiboun Sahel & Mohamed Boudour. (2015) Application of particle swarm optimization based neural network to fault classification. Application of particle swarm optimization based neural network to fault classification.
A. Ngaopitakkul, C. Pothisarn, S. Bunjongjit & B. Suechoey. (2012) An Application of Discrete Wavelet Transform and Support Vector Machines Algorithm for Classification of Fault Types on Underground Cable. An Application of Discrete Wavelet Transform and Support Vector Machines Algorithm for Classification of Fault Types on Underground Cable.
Simi P. Valsan & K.S. Swarup. (2009) Wavelet transform based digital protection for transmission lines. International Journal of Electrical Power & Energy Systems 31:7-8, pages 379-388.
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S.P. Valsan & K.S. Swarup. (2009) High-Speed Fault Classification in Power Lines: Theory and FPGA-Based Implementation. IEEE Transactions on Industrial Electronics 56:5, pages 1793-1800.
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