Novel Method for Discrimination of Transformers Faults from Magnetizing Inrush Currents Using Wavelet Transform

Author:

Babaei Zahra,Moradi MohamadORCID

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Vision and Pattern Recognition,Energy Engineering and Power Technology,Signal Processing

Reference27 articles.

1. Ahmed AS, Mohamed SM (2017) Power transformer protection using wavelets and pattern recognition- part i: theoretical verification. In: Nineteenth international middle east power systems conference, 19–21, december 2017

2. Ali S, Haidar S, Teymoor G (2018) Identifying internal fault from magnetizing conditions in power transformer using the cascaded implementation of wavelet transform and empirical mode decomposition. Int Trans Electr Energ Syst

3. Babaei Z, Moradi M (2019) A fast wavelet packet transform based algorithm for discrimination of transformers magnetizing inrush currents from internal faults. Sci Arena Publ Special J Electron Comput Sci 5(3):10–23

4. Babaei-Roudi F, Abdoos AA (2018) Detection of internal fault from external fault and inrush current in power transformers based on combination of VMD and ELM. Comput Intell Electr Eng 9(1):2018

5. Baoming G, de Almeida AT, Qionglin Z et al (2005) An equivalent instantaneous inductance-based technique for discrimination between inrush current and internal faults in power transformers. IEEE Trans Power Deliv 20:2473–2482

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