en Artificial Intelligence Techniques Artificial Intelligence Techniques Only For Articles of ELECRiS 2024 Only For Articles of ELECRiS 2024 <span style="font-size:10.0pt"><span new="" roman="" style="font-family:" times="">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.</span></span> Partial Discharge, Coupling Capacitor (CC), Rotating Machine, Ultra-High Frequency (UHF), Phase Resolve Partial Discharge (PRPD). 280 290 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-5547-2&slc_lang=en&sid=1 Ahmad Syukri Abd Rahman ahmadsyukri@studentmail.unimap.edu.my 1800319475328460016578 1800319475328460016578 No 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 khairulhafizi@unimap.edu.my 1800319475328460016579 1800319475328460016579 Yes Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia. Nur Dini Athirah Gazata diniathirah@studentmail.unimap.edu.my 1800319475328460016580 1800319475328460016580 No Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia. Afifah Shuhada Rosmi afifahshuhada@unimap.edu.my 1800319475328460016581 1800319475328460016581 No Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia. Ayob Nazmi Nanyan ayobnazmy@unimap.edu.my 1800319475328460016582 1800319475328460016582 No Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia. Aiman Ismail Mohamed Jamil aimanismail@studentmail.unimap.edu.my 1800319475328460016583 1800319475328460016583 No Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia. Mohd Helmy Halim Abdul Majid helmy.uitm@mhhlegacy.com.my 1800319475328460016584 1800319475328460016584 No MHH Condition Monitoring Sdn Bhd, No.8, Tingkat 1, Jalan Sumazau 1J/KU5, Bandar Bukit Raja, 41050 Klang, Selangor, Malaysia. Normiza Masturina Samsuddin normiza@mhhlegacy.com.my 1800319475328460016585 1800319475328460016585 No MHH Condition Monitoring Sdn Bhd, No.8, Tingkat 1, Jalan Sumazau 1J/KU5, Bandar Bukit Raja, 41050 Klang, Selangor, Malaysia.