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Orman, M., Pinto, C. T. (2013). Usage of acoustic camera for condition monitoring of electric motors. IEEE International Conference of IEEE Region 10 (TENCON 2013). IEEE, 1-4. https://doi.org/10.1109/TENCON.2013.6718909Search in Google Scholar
Borucki, S., Cichon, A., Subocz, J. (2012). Detection of partial discharges in transformer insulation bushings using acoustic emission method. Przeglad Elektrotechniczny, 88 (4A), 18-21. https://doi.org/10.2478/v10048-011-0030-1Search in Google Scholar
Cichon, A., Berger, P. (2014). Possibility of using acoustic acoustic emission method for testing load tap changers during normal operation of the transformer. In International Conference on High Voltage Engineering and Application (ICHVE). IEEE. https://doi.org/10.1109/ICHVE.2014.7035479Search in Google Scholar
Boczar, T., Borucki, S., Cichon, A., Zmarzly, D. (2009). Application possibilities of artificial neural networks for recognizing partial discharges measured by the acoustic emission method. IEEE Transactions on Dielectrics and Electrical Insulation, 16, 214-223. https://doi.org/10.1109/TDEI.2009.4784570Search in Google Scholar
Kunicki, M., Cichon, A. Borucki, S. (2016). Study on descriptors of acoustic emission signals generated by partial discharges under laboratory conditions and in on-site electrical power transformer. Archives of Acoustics, 41 (2), 265-276. https://doi.org/10.1515/aoa-2016-0026Search in Google Scholar
Olszewska, A. (2010). Location of partial discharge sources in oil transformer with the use of analysis of acoustic emission signals in various frequency bands. Przeglad Elektrotechniczny, 86 (11B), 63-65.Search in Google Scholar
Jin, M., Pan, J. (2016). Vibration transmission from internal structures to the tank of an oil-filled power transformer. Applied Acoustics, 113, 1-6. https://doi.org/10.1016/j.apacoust.2016.05.022Search in Google Scholar
Bartoletti, C., Desiderio, M., Di Carlo, D., Fazio, G., Muzi, F., Sacerdoti G., Salvatori, F. (2004). Vibro-acoustic techniques to diagnose power transformers. IEEE Transactions on Power Delivery, 19 (1), 221-229. https://doi.org/10.1109/TPWRD.2003.820177Search in Google Scholar
Olszewska, A., Witos, F. (2016). Identification of acoustic emission signals originating from the core magnetization of power oil transformer. Archives of Acoustics, 41 (4), 799-812. https://doi.org/10.1515/aoa-2016-0077Search in Google Scholar
Usha, K., Usa, S. (2015). Inter disc fault location in transformer windings using SFRA. IEEE Transaction on Dielectrics and Electrical Insulation, 22 (6), 3567-3573. https://doi.org/10.1109/TDEI.2015.005060Search in Google Scholar
Ramírez-Niño, J., Pascacio, A. (2009). Acoustic measuring of partial discharge in power transformers. Measurement Science and Technology, 20 (11), 1-9. https://doi.org/10.1088/0957-0233/20/11/115108Search in Google Scholar
Boczar, T., Cichon, A., Borucki, S. (2014). Diagnostic expert system of transformer insulation systems using the acoustic emission method. IEEE Transactions on Dielectrics and Electrical Insulation, 21, (2), 854-865. https://doi.org/10.1109/TDEI.2013.004126Search in Google Scholar
García, B., Burgos, J. C., Alonso, A. M. (2006). Transformer tank vibration modeling as a method of detecting winding deformations-part I: Theoretical foundation, part II: Experimental verification. IEEE Transactions on Power Delivery, 21 (1), 157-169. https://doi.org/10.1109/TPWRD.2005.852280Search in Google Scholar
Shuai, P., Biela, J. (2014). Investigation of acoustic noise sources in medium frequency, medium voltage transformers. In 16th European Conference on Power Electronics and Applications (EPE-ECCE Europe). IEEE. https://doi.org/10.1109/EPE.2014.6910949Search in Google Scholar
Su, C. C., Tang, Y. W., Tai, C. C., Chen, J. F. (2011). Detection and location of partial discharge in cast-resin dry-type transformers using a waveguide and a new acoustic emission sensor pair design. Journal of Zhejiang University - Science C: Computers & Electronics, 12 (4), 345-350. https://doi.org/10.1631/jzus.C1000126Search in Google Scholar
Kunicki, M., Wotzka, D. A. (2019). Classification method for select defects in power transformers based on the acoustic signals. Sensors, 19 (23), 5212. https://doi.org/10.3390/s19235212Search in Google Scholar
Frivaldsky, M., Piri, M., Spanik, P., Jaros, V., Kondelova, A. (2017). Peak efficiency and peak power point operation of wireless energy transfer (WET) system-analysis and verification. Electrical Engineering, 99 (4), 1439-1451. https://doi.org/10.1007/s00202-017-0658-4Search in Google Scholar
Yoon, Y., Son, Y., Cho, J., Jang, S., Kim, Y. G., Choi, S. (2021). High-frequency modeling of a three-winding power transformer using sweep frequency response analysis. Energies, 14 (13), 4009. https://doi.org/10.3390/en14134009Search in Google Scholar
Kudelcik, J., Hardon, S., Trnka, P., Michal, O., Hornak, J. (2021). Dielectric responses of polyurethane/zinc oxide blends for dry-type cast cold-curing resin transformers. Polymers, 13 (3), 375. https://doi.org/10.3390/polym13030375Search in Google Scholar
Lewandowski, K., Moranda, H. (2018). Detection of windings short-circuits in a power transformer using the SFRA method. Przeglad Elektrotechniczny, 94 (10), 118-121. https://doi.org/10.15199/48.2018.10.27Search in Google Scholar
Brandt, M. (2016). Identification failure of 3 MVA furnace transformer. In Diagnostic of Electrical Machines and Insulating Systems in Electrical Engineering (DEMISEE). IEEE. https://doi.org/10.1109/DEMISEE.2016.7530472Search in Google Scholar
Rajamani, R, Rajappa, M., Madanmohan, B. (2017). Sweep frequency response analysis based diagnosis of shorts within transformer windings. IET Generation Transmission & Distribution, 11 (17), 4274-4281. https://doi.org/10.1049/iet-gtd.2017.0123Search in Google Scholar
Nunez, A. (2006). Recent case studies in the application of acoustic emission technique in power transformers. IEEE/PES Transmission and Distribution Conference and Exposition: Latin America. IEEE. https://doi.org/10.1109/TDCLA.2006.311526Search in Google Scholar
Ma, B., Xu, J. (2017). Study of fiber-optic acoustic emission sensor for partial discharges detection in power transformer. Spectroscopy and Special Analysis, 37 (7), 2273-2277. https://doi.org/10.3964/j.issn.1000-0593(2017)07-2273-05Search in Google Scholar
Sikorski, W. (2010). The detection and identification of partial discharges in power transformer with the use of the acoustic emission method. Przeglad Elektrotechniczny, 86 (4), 229-232.Search in Google Scholar
Kuo, C. C. (2009). Artificial recognition system for defective types of transformers by acoustic emission. Expert Systems with Applications, 36 (7), 10304-10311. https://doi.org/10.1016/j.eswa.2009.01.046Search in Google Scholar
Shanker, T. B., Nagamani, H. N., Puneka, G. S. (2012). Thermal effects on acoustic emission based PD in transformer oil: A study. In 10th IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM). IEEE. https://doi.org/10.1109/ICPADM.2012.6318903Search in Google Scholar
Shuai, P., Biela, J. (2017). Influence of material properties and geometric shape of magnetic cores on acoustic noise emission of medium-frequency transformers. IEEE Transactions on Power Electronics, 32 (10), 7916-7931. https://doi.org/10.1109/TPEL.2016.2636572Search in Google Scholar
Rathod, V. B., Kumbhar, G. B., Bhalja, B. R. (2022). Partial discharge detection and localization in power transformers based on acoustic emission: Theory, methods, and recent trends. IETE Technical Review, 39 (3), 540-552. https://doi.org/10.1080/02564602.2021.1871672Search in Google Scholar
Pokorný, V. (2013). Elimination of noise emission of electrical equipment. Doctoral dissertation, VSB-TU Ostrava, Czech Republic.Search in Google Scholar
Ziomek, W., Kuffelz, E., Sikorski, W., Staniek, P., Siodla, K. (2008). Location and recognition of partial discharge sources in a power transformer using advanced acoustic emission method. Przeglad Elektrotechniczny, 84 (10), 20-23.Search in Google Scholar
Gange, M. (2011). Low-frequency and tonal characteristics of transformer noise. In Acoustics 2011 - Breaking New Ground: Proceedings of the Annual Conference of the Australian Acoustical Society. ISBN 978-0-9757855-8-4.Search in Google Scholar
Witos, F., Olszewska, A., Opilski, Z., Lisowska, A, Szerszen, G. (2020). Application of acoustic emission and thermal imaging to test oil power transformers. Energies, 13 (22), 5955. https://doi.org/10.3390/en13225955Search in Google Scholar
Ma, B., Xu, J. (2017). Study of fiber-optic acoustic emission sensor for partial discharges detection in power transformer. Spectroscopy and Spectral Analysis, 37 (7), 2273-2277. https://doi.org/10.3964/j.issn.1000-0593(2017)07-2273-05Search in Google Scholar
Qian, S., Chen, H., Xu, Y., Su, L. (2018). High sensitivity detection of partial discharge acoustic emission within power transformer by sagnac fiber optic sensor. IEEE Transactions on Dielectrics and Electrical Insulation, 25 (6), 2313-2320. https://doi.org/10.1109/TDEI.2018.007131Search in Google Scholar
Dudani, K., Chudasama, A. R. (2016). Partial discharge detection in transformer using adaptive grey wolf optimizer based acoustic emission technique. Cogent Engineering, 3 (1). https://doi.org/10.1080/23311916.2016.1256083Search in Google Scholar
Kundu, P., Kishore, N. K., Sinha, A. K. (2009). A non-iterative partial discharge source location method for transformers employing acoustic emission techniques. Applied Acoustics, 70 (11-12), 1378-1383. https://doi.org/10.1016/j.apacoust.2009.07.001Search in Google Scholar
Kunicki, M. (2020). Analysis on acoustic disturbance signals expected during partial discharge measurements in power transformers. Archives of Acoustics, 45 (4), 733-746. https://doi.org/10.24425/aoa.2020.135279Search in Google Scholar
Gacek, Z., Szadkowski, M., Malitowski, G., Witos, F. (2010). Analysis of partial discharge in oil filled power transformer with electro-acoustic method. Przeglad Elektrotechniczny, 86 (11B), 287-290.Search in Google Scholar
Hekmati, A. (2015). Proposed method of partial discharge allocation with acoustic emission sensors within power transformers. Applied Acoustics 100, 26-33. https://doi.org/10.1016/j.apacoust.2015.07.011Search in Google Scholar
Stumberger, G., Dezelak, K., Klopcic, B., Dolinar, D. (2012). The impact of the voltage generation method on acoustic noise emissions caused by a welding transformer. IEEE Transactions on Magnetics, 48 (4), 1669-1672. https://doi.org/10.1109/TMAG.2011.2172586Search in Google Scholar
Nicoara, T., Marinescu, A., Patru, I. (2016). Partial discharge diagnostics in power and instrument transformer based on acoustic emission method. In International Conference on Applied and Theoretical Electricity (ICATE). IEEE. https://doi.org/10.1109/ICATE.2016.7754675Search in Google Scholar
Sikorski, W. (2019). Development of acoustic emission sensor optimized for partial discharge monitoring in power transformers. Sensors, 19 (8), 1865. https://doi.org/10.3390/s19081865Search in Google Scholar
Najafi, S., Peimankar, A., Saadati, H., Gockenbach, E., Borsi, H. (2013). The influence of corona near to the bushing of a transformer on partial discharge measurement with an acoustic emission sensor. In IEEE Electrical Insulation Conference (EIC). IEEE, 295-298. https://doi.org/10.1109/EIC.2013.6554253Search in Google Scholar
Kanakambaran, S., Sarathi, R., Srinivasan, B. (2018). Robust classification of partial discharges in transformer insulation based on acoustic emissions detected using fiber Bragg gratings. IEEE Sensors Journal, 18 (24), 10018-10027. https://doi.org/10.1109/JSEN.2018.2872826Search in Google Scholar
Sikorski, W., Walczak, K., Moranda, H., Gil, W., Andrzejewski, M. (2012). Partial discharge on-line monitoring system based on acoustic emission method - operational experiences. Przeglad Elektrotechniczny, 88 (11B), 117-121.Search in Google Scholar
Ludwikowski, K., Siodla, K., Ziomek, W. (2012). Investigation of transformer model winding deformation using sweep frequency response analysis. IEEE Transactions on Dielectrics and Electrical Insulation, 19 (6), 1957-1961. https://doi.org/10.1109/TDEI.2012.6396953Search in Google Scholar
Cheng, X. B., Wang, F. K. (2018). The performance of EWMA median and CUSUM median control charts for a normal process with measurement errors. Quality and Reliability Engineering International, 34 (2), 203-213. https://doi.org/10.1002/qre.2248Search in Google Scholar
Tran, K. P., Castagliola, P., Balakrishnan, N. (2017). On the performance of shewhart median chart in the presence of measurement errors. Quality and Reliability Engineering International, 33 (5), 1019-1029. https://doi.org/10.1002/qre.2087Search in Google Scholar
Cheng, X. B., Wang, F. K. (2018). VSSI median control chart with estimated parameters and measurement errors. Quality and Reliability Engineering International, 34 (5), 867-881. https://doi.org/10.1002/qre.2297Search in Google Scholar
Bucci, G., Ciancetta, F., Fioravanti, A., Fiorucci, E., Prudenzi, A. (2020). Application of SFRA for diagnostics on medical isolation transformers. International Journal of Electrical power & Energy Systems, 117, 105602. https://doi.org/10.1016/j.ijepes.2019.105602Search in Google Scholar
Ibrahim, K. H., Korany, N. R., Saleh, S. M. (2022). Effects of power transformer high-frequency equivalent circuit parameters non-uniformity on fault diagnosis using SFRA test. Ain Shams Engineering Journal, 13 (4), 101674. https://doi.org/10.1016/j.asej.2021.101674Search in Google Scholar