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Лютикова, М. Н. Диагностирование состояния внутренней изоляции высоковольтного оборудования методом хромато-масс-спектрометрии [Электронный ресурс] / М. Н. Лютикова, С. В. Нехорошев, М. Г. Кульков. — Электрон. текстовые дан. (1 файл : 444 Кб) // Научно-технические ведомости СПбПУ. Сер.: Естественные и инженерные науки = St. Petersburg polytechnic university journal of engineering science and technology / Санкт-Петербургский политехнический университет Петра Великого. – 2018. – Т. 24, № 4 [Электронный ресурс]. — Загл. с титул. экрана. — Электронная версия печатной публикации. — Свободный доступ из сети Интернет (чтение, печать, копирование). — Текстовый файл. — Adobe Acrobat Reader 7.0. — <URL:http://dx.doi.org/10.18721/JEST.24412>. — <URL:http://elib.spbstu.ru/dl/2/j19-131.pdf>.

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Period Read Print Copy Open Total
Year 2019 Quarter 2 May 14 0 9 0 23
June 7 0 5 0 12
Quarter 3 July 4 0 2 0 6
August 4 0 5 0 9
September 2 0 2 0 4
Quarter 4 October 1 0 2 0 3
November 1 0 0 0 1
December 1 0 1 0 2
Year 2020 Quarter 1 January 3 0 2 0 5
February 0 0 4 0 4
March 10 0 6 0 16
Quarter 2 April 4 0 0 0 4
May 0 0 0 0 0
June 2 0 0 0 2
Quarter 3 July 3 0 0 0 3
August 1 0 0 0 1
September 7 0 0 0 7
Quarter 4 October 3 0 2 0 5
November 3 0 8 0 11
December 1 0 7 0 8
Year 2021 Quarter 1 January 2 0 1 0 3
February 3 0 0 0 3
March 1 0 1 0 2
Quarter 2 April 1 0 5 0 6
May 4 0 3 0 7
June 10 0 4 0 14
Quarter 3 July 6 0 6 0 12
August 7 0 4 0 11
September 4 0 1 0 5
Quarter 4 October 3 0 3 0 6
November 0 0 0 0 0
December 1 0 0 0 1
Year 2022 Quarter 1 January 2 0 6 0 8
February 2 0 5 0 7
March 4 0 3 0 7
Quarter 2 April 4 0 3 0 7
May 4 0 1 0 5
June 2 0 3 0 5
Quarter 3 July 4 0 0 0 4
August 9 0 3 0 12
September 3 0 2 0 5
Quarter 4 October 2 0 0 0 2
November 7 0 0 0 7
December 4 0 4 0 8
Year 2023 Quarter 1 January 0 0 1 0 1
February 3 0 3 0 6
March 1 0 1 0 2
Quarter 2 April 0 0 3 0 3
May 6 0 1 0 7
June 0 0 2 0 2
Quarter 3 July 2 0 0 0 2
August 1 0 2 0 3
September 1 0 2 0 3
Quarter 4 October 3 0 1 0 4
November 1 0 7 0 8
December 4 0 2 0 6
Year 2024 Quarter 1 January 1 0 0 0 1
February 2 0 3 0 5
March 2 0 1 0 3
Quarter 2 April 3 0 7 0 10
May 1 0 1 0 2
June 3 0 1 0 4
Quarter 3 July 2 0 6 0 8
August 4 0 7 0 11
September 1 0 0 0 1
Quarter 4 October 6 0 5 0 11
November 2 0 1 0 3
December 3 0 2 0 5
Year 2025 Quarter 1 January 13 0 3 0 16
February 7 0 3 0 10
March 5 0 0 0 5
Quarter 2 April 11 0 4 0 15
May 15 0 3 0 18
June 9 0 7 0 16
Quarter 3 July 8 0 1 0 9
Total 280 0 193 0 473