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Chapter 1. Monitoring Systems (Smart Grid) and Diagnostics Electrical Equipment Faults
References
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[3] Т. Н., Гращенкова Г. Н., Зудилова Е. Н., Смирнова Л. И., Английский язык. Менеджмент. Учебно-методическое пособие, – М.: ЛИТРЕС, 2018, с. 65.
[4]Khrennikov, A. Yu. Control and protection device of transformer windings against deformation at short circuits”, Patent of Russian Federation, № 2136099. 1999,Bulletin № 24.
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Луговая А. Л. Английский язык для студентов энергетических специальностей: Учебное пособие/А. Л. Луговая. – М.: Высш. шк., 2009. – 150 с.
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[9] Бухарова Г. П. Техническое чтение для энергетиков: Методическое пособие по английскому языку для студентов 1, 2 курсов энергетических специальностей дневной и заочной форм обучения / сост. Г. П. Бухарова. – Ульяновск: УлГТУ, 2004–112 с.
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[13] Khrennikov, A. Yu., (1999). Short-circuit performance of power transformers. Test experience at Samaraenergo Co and at Power Testing Station in Togliatti, including fault diagnostics, Reports of CIGRE Study Commitee 12 Transformers. Hungary, Budapest.
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[16] Khrennikov, A. Yu., (2005). Short-circuit performance of power transformers. Transformer testing experience for reliability’s increase of electric power supply, Reports of CIGRE Colloquium, Comitee A2., Moscow.
[17] Khrennikov, A. Yu., Goldshtein, V. G., Skladchikov, A. A., (2010). The analysis of a condition of overhead lines of power transmission 6–500 кV, Power plants, № 5.
[18] Khrennikov, A. Yu. (2012). New «intellectual networks» (Smart Grid) for detecting electrical equipment faults, defects and weaknesses. Smart Grid and Renewable Energy, February, Volume 3, Issue 1, 159–164. http://www.scirp.org/journal/sgre/
[19] Khrennikov, A. Yu., (2013). Smart Grid technologies for Detecting Electrical Equipment Faults, Defects and Weaknesses. Workshop on Mathematical Modelling of Wave Phenomena with applications in the power industry, Linnaeus University, Växjö.
[20] Khrennikov, A.Yu., Mazhurin, R. V., Radin P. S., (2014). Infra-red and ultraviolet control, LVI-testing, partial discharges and another diagnostic methods for detection of electrical equipment’s faults, defects. Journal of Multidisciplinary Engineering Science and Technology (JMEST) (ISSN: 3159–0040), Volume 1, Issue 4, 184–189. http://www.jmest.org/vol-1-issue-4-november-2014/