Метод вейвлет анализа временных рядов параметров диэлектрической абсорбции электроизоляционных конструкций
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Дата
2020
ORCID
DOI
doi.org/10.20998/2074-272X.2020.2.08
Науковий ступінь
Рівень дисертації
Шифр та назва спеціальності
Рада захисту
Установа захисту
Науковий керівник
Члени комітету
Видавець
Національний технічний університет "Харківський політехнічний інститут"
Анотація
Установлено влияние поверхностных и трибозарядов на результаты контроля емкости и тангенса угла диэлектрических потерь экранированных и неэкранированных кабелей с полимерной изоляцией. Показана неэффективность фильтрации спектров временных рядов с помощью фильтра низких частот на основе прямого преобразования Фурье. На примере неэкранированного кабеля представлено многоуровневое вейвлет разложение временных рядов параметров и показана эффективность применения вейвлет преобразования для выявления высокочастотных и низкочастотных компонент в измеренных значениях. Обоснован оптимальный уровень разложения параметров диэлектрической абсорбции неэкранированного и экранированного кабелей с помощью вейвлета Добиши 12 порядка. Показана эффективность метода вейвлет анализа временных рядов параметров диэлектрической абсорбции, обеспечивающего повышение точности контроля и диагностики твердой полимерной изоляции электроизоляционных конструкций. Библ. 17, рис. 8.
Introduction. In the objects of control there are always a number of interfaces, for example, solid insulation – electrode. On contacting surfaces, free surface charges are transferred. Surface conductivity leads to fluctuations in the measured values of the capacitance and the tangent of the dielectric loss angle of olid insulation, the state of which is determined. The drain off of the surface charge does not lead to a decrease in the scatter of the measured dielectric absorption parameters. One of the main reasons for the significant time spread of the dielectric absorption parameters, and to a large extent (three orders of magnitude) of the dielectric loss tangent are tribo charges caused by triboelectrification of cable structural elements. Tribo charges cause internal noise in electrical insulating structures, masking processes in the polymer insulation itself. Purpose. Substantiation of a method for analyzing the time series of dielectric absorption parameters, which provides increased accuracy of control and diagnostics of solid polymer insulation of electrical insulation structures based on filtering experimental data using wavelet transform. Methodology. The inefficiency of filtering the spectra of time series using a low filter based on the direct Fourier transform is shown. Multilevel wavelet decomposition of the time series of parameters is presented, and the efficiency of applying wavelet transforms to identify highfrequency and low-frequency components in the measured values. Practical value. The method of analyzing the time series of dielectric absorption parameters using the wavelet transform, proposed for the first time, makes it possible to increase the accuracy of monitoring and diagnostics of solid polymer insulation both at the manufacturing stage and in the operation of electrical insulating structures. This method is the basis for creating a database of control results for assessing the state of solid polymer insulation of electrical insulation structures, in particular, power and information cables. References 17, figures 8.
Introduction. In the objects of control there are always a number of interfaces, for example, solid insulation – electrode. On contacting surfaces, free surface charges are transferred. Surface conductivity leads to fluctuations in the measured values of the capacitance and the tangent of the dielectric loss angle of olid insulation, the state of which is determined. The drain off of the surface charge does not lead to a decrease in the scatter of the measured dielectric absorption parameters. One of the main reasons for the significant time spread of the dielectric absorption parameters, and to a large extent (three orders of magnitude) of the dielectric loss tangent are tribo charges caused by triboelectrification of cable structural elements. Tribo charges cause internal noise in electrical insulating structures, masking processes in the polymer insulation itself. Purpose. Substantiation of a method for analyzing the time series of dielectric absorption parameters, which provides increased accuracy of control and diagnostics of solid polymer insulation of electrical insulation structures based on filtering experimental data using wavelet transform. Methodology. The inefficiency of filtering the spectra of time series using a low filter based on the direct Fourier transform is shown. Multilevel wavelet decomposition of the time series of parameters is presented, and the efficiency of applying wavelet transforms to identify highfrequency and low-frequency components in the measured values. Practical value. The method of analyzing the time series of dielectric absorption parameters using the wavelet transform, proposed for the first time, makes it possible to increase the accuracy of monitoring and diagnostics of solid polymer insulation both at the manufacturing stage and in the operation of electrical insulating structures. This method is the basis for creating a database of control results for assessing the state of solid polymer insulation of electrical insulation structures, in particular, power and information cables. References 17, figures 8.
Опис
Ключові слова
временные ряды, диэлектрические абсорбции, вейвлет преобразования, преобразование Фурье, экранированные кабели, неэкранированные кабели, фильтры низких частот, уровни разложения, dielectric absorption parameters, capacitance, dielectric loss tangent, decomposition levels, approximation and detail, wavelet transform
Бібліографічний опис
Беспрозванных А. В. Метод вейвлет анализа временных рядов параметров диэлектрической абсорбции электроизоляционных конструкций / А. В. Беспрозванных, И. А. Костюков // Електротехніка і Електромеханіка = Electrical engineering & Electromechanics. – 2020. – № 2. – С. 52-58.