Partial Discharge Activity Analysis in Rotating Machine using Phase Resolved Partial Discharge Pattern

• Published in: 2024 IEEE 4th International Conference in Power Engineering Applications: Powering the Future: Innovations for Sustainable Development, ICPEA 2024
• Main Author: Majid M.H.H.A.; Samsuddin N.M.; Rahman A.S.A.; Nik Ali N.H.; Rahiman M.H.F.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191724004&doi=10.1109%2fICPEA60617.2024.10498445&partnerID=40&md5=d14be83a367dcadf531f5858884ac911

In the realm of rotating machinery, the inevitability of wear and aging is a constant concern. Over time, materials and components degrade, ultimately leading to the risk of failure. Yet, with diligent maintenance, many potential failures can be averted. To facilitate effective maintenance scheduling, plant operators rely on accurate machinery condition assessments. This paper introduces an innovative technique and measurement system for monitoring Partial Discharge (PD) in rotating machines, utilizing the benefit of Phase Resolved Partial Discharge (PRPD) patterns. This method offers significant advancements in maintenance strategy and planning. Utilizing inductive sensors installed on the machine's terminals to separate PD pulses and analyze sensor signals, it has been tested on an 11 kV asynchronous motor. The test object's PD level was then measured. Given that one of the primary goals of PD monitoring is to identify insulation degradation early on, analyzing PRPD patterns is a significant tool for assessing the state of high-voltage rotating machinery and guaranteeing its dependable operation for a predetermined amount of time. Furthermore, this paper presents a case study that utilizes PRPD analysis to assess the current state of a machine, confirming its satisfactory operational condition. © 2024 IEEE.