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Iranian Journal of Electrical and Electronic Engineering، جلد ۲۱، شماره ۲، صفحات ۳۶۴۰-۳۶۴۰
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عنوان انگلیسی Ultra-high Frequency Sensor for Partial Discharges Detection in High Voltage Substation
چکیده انگلیسی مقاله The development of advanced diagnostic tools is critical for the effective monitoring and management of electrical insulation systems. This paper presents the development of an Ultra High Frequency (UHF) sensor designed for the detection of partial discharges (PD) within high-voltage substations. The study focuses on the sensor’s technical development, encompassing design considerations, fabrication processes, and initial performance evaluations in laboratory settings. The engineering principles underlying the sensor design are detailed, including the selection of innovative materials that enhance sensitivity and frequency response. The sensor configuration is tailored to optimize the detection of PD signals, with adjustments made based on simulated PD scenarios. Initial testing results demonstrate the sensor’s capability to detect a range of PD activities, showcasing its potential effectiveness in real-world applications. The sensor's performance is analyzed through a series of controlled lab experiments, which confirm its high sensitivity and broad operational frequency range. This paper not only illustrates the technical specifications and capabilities of the newly developed UHF sensor but also discusses its practical implications for improving the reliability and efficiency of PD monitoring systems in electrical substations.
کلیدواژه‌های انگلیسی مقاله Partial Discharge, UHF Sensor, Antipodal Vivaldi Antenna.
نویسندگان مقاله | Sharulnizam Mohd Mukhtar
Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau Perlis, Malaysia.


| MUZAMIR ISA
Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau Perlis, Malaysia


| Azremi Abdullah Al-Hadi
Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau Perlis, Malaysia.
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-5521-1&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Diagnostics Techniques
نوع مقاله منتشر شده Only For Articles of ELECRiS 2024
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