Power quality disturbance detection using histogram of oriented gradients with extreme learning machine
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00202-024-02290-2.pdf
Reference24 articles.
1. Mahela OP, Shaik AG, Gupta N (2015) A critical review of detection and classification of power quality events. Renew Sustain Energy Rev 41:495–505. https://doi.org/10.1016/j.rser.2014.08.070
2. Liu H, Hu H, Chen H, Zhang L, Xing Y (2018) Fast and flexible selective harmonic extraction methods based on the generalized discrete Fourier transform. IEEE Trans Power Electron 33:3484–3496. https://doi.org/10.1109/TPEL.2017.2703138
3. Jurado F, Saenz JR (2002) Comparison between discrete STFT and wavelets for the analysis of power quality events. Electr Power Syst Res 62(3):183–190. https://doi.org/10.1016/S0378-7796(02)00035-4
4. Barros J, Diego RI, de Apriz M (2012) Application of wavelet transform for analysis of harmonic distortion in power systems: a review. IEEE Trans Instrum Meas 61:2604–2611. https://doi.org/10.1109/TIM.2012.2199194
5. Shamachurn H (2019) Assessing the performance of a modified S-transform with probabilistic neural network support vector machine and nearest neighbour classifiers for single and multiple power quality disturbances identification. Neural Comput Appl 31(4):1041–1060
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