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Iranian Journal of Electrical and Electronic Engineering، جلد ۲۱، شماره ۲، صفحات ۳۶۶۵-۳۶۶۵
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عنوان انگلیسی A Review of Analysis of Partial Discharge Measurements using Coupling Capacitor in Rotating Machine
چکیده انگلیسی مقاله Partial discharge (PD) is a critical phenomenon in electrical systems, particularly in high-voltage (HV) equipment like transformers, cables, switchgear, and rotating machines. In rotating machines such as generators and motors, PD is a significant concern as it leads to insulation degradation, potentially resulting in catastrophic failure. Effective and reliable diagnostic techniques are essential for detecting and analyzing PD to ensure the operational safety and longevity of such equipment. Various PD detection methods have been developed, including coupling capacitor (CC), high-frequency current transformer (HFCT), and ultra-high frequency (UHF) techniques, each offering unique advantages in assessing the condition of HV electrical systems. Among these, coupling capacitors have gained significant attention due to their ability to improve the accuracy, sensitivity, and efficiency of PD detection in rotating machines. This study focuses on the advancements in coupling capacitor-based techniques and their critical role in enhancing PD diagnostics for monitoring and maintaining high-voltage rotating machinery.
کلیدواژه‌های انگلیسی مقاله Partial Discharge, Coupling Capacitor (CC), Rotating Machine, Ultra-High Frequency (UHF), Phase Resolve Partial Discharge (PRPD).
نویسندگان مقاله | Ahmad Syukri Abd Rahman
MHH Condition Monitoring Sdn Bhd, No.8, Tingkat 1, Jalan Sumazau 1J/KU5, Bandar Bukit Raja, 41050 Klang, Selangor, Malaysia.


| Mohamad Nur Khairul Hafizi Rohani
Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia.


| Nur Dini Athirah Gazata
Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia.


| Afifah Shuhada Rosmi
Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia.


| Ayob Nazmi Nanyan
Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia.


| Aiman Ismail Mohamed Jamil
Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia.


| Mohd Helmy Halim Abdul Majid
MHH Condition Monitoring Sdn Bhd, No.8, Tingkat 1, Jalan Sumazau 1J/KU5, Bandar Bukit Raja, 41050 Klang, Selangor, Malaysia.


| Normiza Masturina Samsuddin
MHH Condition Monitoring Sdn Bhd, No.8, Tingkat 1, Jalan Sumazau 1J/KU5, Bandar Bukit Raja, 41050 Klang, Selangor, Malaysia.
نشانی اینترنتی http://ijeee.iust.ac.ir/browse.php?a_code=A-10-5547-2&slc_lang=en&sid=1
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زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Artificial Intelligence Techniques
نوع مقاله منتشر شده Only For Articles of ELECRiS 2024
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