Numerical Modelling and Pinpointing of Partial Discharges
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36604-8_5
Reference22 articles.
1. Kim, H., Kong, T., Lee, S. B., et al. (2018). Experience with stator insulation testing and turn/phase insulation failures in the power generation industry. IEEE Transactions on Industry Applications, 54(3), 2225–2236.
2. Sadeghi, I., Ehya, H., Zarandi, R. N., Faiz, J., & Akmal, A. A. S. (2018). Condition monitoring of large electrical machine under partial discharge fault - a review. In 2018 international symposium on power electronics, electrical drives, automation and motion (SPEEDAM) (pp. 216–223).
3. Mirzaei, H. R., Akbari, A., Gockenbach, E., Zanjani, M., & Miralikhani, K. (2013). A novel method for ultra- high-frequency partial discharge localization in power transformers using the particle swarm optimization algorithm. IEEE Electrical Insulation Magazine, 29, 26–39.
4. Biswas, S., Koley, C., Chatterjee, B., & Chakravorti, S. (2012). A methodology for identification and localization of partial discharge sources using optical sensors. IEEE Transactions on Dielectrics and Electrical Insulation, 19, 18–28.
5. Hoek, S. M., Kraetge, A., Kessler, O., & Broniecki, U. (2012). Time-based partial discharge localization in power transformers by combining acoustic and different electrical methods. In International conference on condition monitoring and diagnosis (pp. 289–292).
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