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Dušan Agrež

References IEEE Standard 1459-2000 (2003). IEEE Standard Definitions for the Measurement of Electric Power Quantities Under Sinusoidal, Nonsinusoidal, Balanced or Unbalanced Conditions. The Institute of Electrical and Electronic Engineers. Inc. New York. Matz V., Radil T., Ramos P., Serra A. C. (2007, May). Automated Power Quality Monitoring System for On-line Detection and Classifications of Disturbances. Proceedings of the IEEE IMTC/2007 , no. IM-7083 - 6p., Warsaw, Poland

Open access

Mariusz Oszust

References [1] Chandler, D. M. (2013). Seven challenges in image quality assessment: Past, present, and future research. SRN Signal Processing, 2013, art. ID 905685. [2] Ponomarenko, N., Jin, L., Ieremeiev, O., Lukin, V., Egiazarian, K., Astola, J.,Vozel, B., Chehdi, K., Carli, M., Battisti, F., Kuo, C.-C. J. (2015). Image database TID2013: Peculiarities results and perspectives. Signal Processing: Image Communication, 30, 57-77. [3] Anbarjafari, G. (2015). An objective no-reference measure of illumination

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Dragan Živanović, Milan Simić, Zivko Kokolanski, Dragan Denić and Vladimir Dimcev

R eferences [1] Simić, M., Kokolanski, Z., Denić, D., Dimcev, V., Živanović, D., Taskovski, D. (2017). Design and evaluation of computer-based electrical power quality signal generator. Measurement , 107, 77-88. [2] Bollen, M.H.J. (2003). What is power quality? Electric Power Systems Research , 66 (1), 5-14. [3] Ferrero, A. (2008). Measuring electric power quality: Problems and perspectives. Measurement , 41 (2), 121-129. [4] Copper Development Association. (2004). Power quality application guide. Voltage disturbances . Standard EN

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Przemysław Gilski and Jacek Stefański

codes for error detection. Proc. of the IRE, 49, 228-235. [15] Gandy, C. (2003). DAB: an introduction to the Eureka DAB System and a guide to how it works. BBC. [16] Dymarski, P., Kula, S., Thanh, N. (2011). QoS Conditions for VoIP and VoD. Journal of Telecom. and Information Technology, 3, 29-37. [17] Uhl, T., Paulsen, S. (2014). The new, parameterized VT Model for Determining Quality in the Video-telephony Service. Bulletin of the Polish Academy of Sciences Technical Sciences, 62(3), 431-437. [18] Sixth

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Dimitar Taskovski, Ljubica Koleva, Aleksandar Milchevski and Vladimir Dimcev

References [1] Targosz R., Manson J. (2007), Pan-European power quality survey. In Proceedings of 9th IEEE Electrical Power Quality and Utilization Conference , Barcelona, Spain, 9-11. [2] IEEE Recommended practice for monitoring electric power quality, Std. 1159-2009 [3] Ibrahim W. R. A., Morcos M. M. (2002). Artificial intelligence and advanced mathematical tools for power quality applications: A survey. IEEE Trans. Power Delivery , 17 (2), 668-673. [4] Szmajda M., Górecki K., Mroczka

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Klára Macsinka


Open access

Jarosław Zygarlicki and Janusz Mroczka

References Zygarlicki, J., Zygarlicka, M., Mroczka, J., Latawiec, K. (2010). A reduced Prony's method in power quality analysis - parameters selection. IEEE Transactions on Power Delivery , 25(2), 979-986. Zygarlicki, J., Mroczka, J. (2011). Short time algorithm of power waveforms fundamental harmonic estimations with Prony's methods use. Metrology and Measurement Systems , 18(3), 33-38. Zygarlicki, J., Zygarlicka, M., Mroczka, J. (2009). Prony's metod in power quality analysis

Open access

Janusz Smulko, Marek Olesz, Lech Hasse, Leszek Kaczmarek and Grzegorz Lentka

Problems of Varistor Quality Assessment During Exploitation

Varistors are commonly used elements which protect power supply networks against high-voltage surges or lightning. Therefore, quality and endurance of these elements is important to avoid losses when an expensive laboratory equipment would not be protected from random overvoltages. Additionally, excessive leakage currents generate serious costs due to high energy consumption. The paper presents shortly properties of varistors that comprized different ZnO grain types and can have various quality which changes continuously during exploitation (due to exposition to overheating and overvoltage pulses). Therefore, it is important to monitor varistors during their ageing (causing changes within their microstructures). A few methods of varistor property diagnosis were considered and compared with the methods currently applied in laboratory or industry applications. A new measurement (diagnostic) system that can monitor varistors during ageing and can be widely applied in power networks is presented. The proposed system fulfills requirements of the industrial customers which demand various methods for power line protection. The proposed system can be simply developed into a more advanced wireless diagnostic system of long power supply lines.

Open access

Andrei Ardeleanu and Pedro Ramos

References Targosz, R., Manson, J. (2007). Pan European LPQI Power Quality Survey. In Proceedings of the 9 th International Conference on Electric Power Quality and Utilisation 2007 , Barcelona, Spain. IEEE Std 1159-1995. (1995). IEEE Recommended Practice for Monitoring Electric Power Quality. The Institute of Electrical and Electronics Engineers, Inc., New York, USA. IEC 61000-4-30:2003. (2003). Electromagnetic compatibility (EMC) - Part 4-30: Testing and measurement

Open access

Pedro Ramos, Fernando Janeiro and Tomáš Radil

References Dugan, R. C., McGranaghan, M. F., Santoso, S., Beaty, H. W. (2003). Electrical Power Systems Quality. NY: McGraw-Hill, 2 nd edition. Radil, T., Ramos, P. M., Janeiro, F. M., Serra, A. C. (2008). PQ monitoring system for real-time detection and classification of disturbances in a single-phase power system. IEEE Trans. Instrum. Meas. , 57(8), 1725-1733. Ardeleanu, A. S., Ramos, P. M. (2011). Real time PC implementation of power quality monitoring system based on