Fault Diagnosis of the Power Transformer Based on PSO-SVM
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1260-5_12
Reference15 articles.
1. Seifeddine, S., Khmais, B., Abdelkader, C.: Power transformer fault diagnosis based on dissolved gas analysis by artificial neural network. In: 2012 First International Conference on Renewable Energies and Vehicular Technology, pp. 230–236. IEEE (2012). DOI:https://doi.org/10.1109/REVET.2012.6195276
2. Bacha, K., Souahlia, S., Gossa, M.: Power transformer fault diagnosis based on dissolved gas analysis by support vector machine. Electric Power Syst. Res. 83(1), 73–79 (2012). https://doi.org/10.1016/j.epsr.2011.09.012
3. Ghoneim, S., Shoush, K.A.: Diagnostic tool for transformer fault detection based on dissolved gas analysis. Adv. Electr. Eng. Syst. (3), 152–156 (2014). DOI:https://doi.org/10.9790/1676-09532026
4. Zhang, Y., Ding, X., Liu, Y., et al.: An artificial neural network approach to transformer fault diagnosis. IEEE Trans. Power Delivery 11(4), 1836–1841 (1996). https://doi.org/10.1109/61.544265
5. Mohamed, E.A., Abdelaziz, A.Y., Mostafa, A.S.: A neural network-based scheme for fault diagnosis of power transformers. Electric Power Syst. Res. 75(1), 29–39 (2005). https://doi.org/10.1016/j.epsr.2004.11.013
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