Voltage sags and transient detection and classification using half/one-cycle windowing techniques based on continuous s-transform with neural network

Voltage sags and transient detection and classification using half/one-cycle windowing techniques based on continuous s-transform with neural network

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This paper was conducted to detect and classify the different power quality disturbance (PQD) using Half and One-Cycle Windowing Technique (WT) based on Continuous S-Transform (CST) and Neural Network (NN). The system using 14 bus bars based on IEEE standard had been designing using MATLAB©Simulink...

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Bibliographic Details
Main Authors: Abdullah M.H.R.O (Author), Abidin, A.F (Author), Ali M.N.M (Author), Bermakai M. (Author), Daud, K. (Author), Hussain Z. (Author), Ibrahim A. (Author), Ismail, A.P (Author), Jamalludin D. (Author), Jumidali M.M (Author), Mahmood A. (Author), Mukhtar N.M (Author), Yusof A.M (Author), Yusoff M.Z.M (Author)
Format: Article
Language:English
Published: American Institute of Physics Inc. 2017
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