Detection of acoustic emission signals from partial discharge sources in oil-pressboard insulation system

Partial Discharges are major source of insulation failure in power transformers. Therefore, partial discharge (PD) measurement has been commonly carried out to detect and monitor PD activity in insulation in order to avoid from any catastrophic failure. In this research work, acoustic emission (AE)...

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Main Authors: Thayoob Y.H.M., Abidin N.F., Zakaria Z., Ramli A.Q., Lee C.M.
Other Authors: 6505876050
Format: Conference paper
Published: 2023
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spelling my.uniten.dspace-296392023-12-28T15:17:50Z Detection of acoustic emission signals from partial discharge sources in oil-pressboard insulation system Thayoob Y.H.M. Abidin N.F. Zakaria Z. Ramli A.Q. Lee C.M. 6505876050 36994666100 35411030800 35779000400 24448195600 Acoustic emission Component Partial discharge sources Acoustic emissions Engineering research Innovation Oil filled transformers Partial discharges Power transformers Tanks (containers) Acoustic emission signal AE signals Catastrophic failures Component Data acquisition system Detection system Experimental setup Insulation failures Partial discharge measurements Partial discharge sources Pressboard insulation Transformer oil Signal detection Partial Discharges are major source of insulation failure in power transformers. Therefore, partial discharge (PD) measurement has been commonly carried out to detect and monitor PD activity in insulation in order to avoid from any catastrophic failure. In this research work, acoustic emission (AE) detection system is used to detect PD in an experimental tank filled with transformer oil. Three different types of PD sources to generate PD in the experimental tank are created from pressboards which are the plain pressboard, the floating metal in the pressboard and the bubble in pressboard. The AE signals due to the occurrence of PD from these sources are captured and recorded. Due to the large number of AE signals to be recorded by the Data Acquisition System, some of these signals may not be stored correctly in the system. Some of these signals may also be affected by the reflection and refraction phenomena, interference and attenuation of the AE signals. Hence, the preprocessing and validation of the acquired AE signals from the experimental setup are also explored in this paper. Finally, the valid AE signals due to three different types of PD sources are identified for further analysis. �2010 IEEE. Final 2023-12-28T07:17:50Z 2023-12-28T07:17:50Z 2010 Conference paper 10.1109/SCORED.2010.5704027 2-s2.0-79951975628 https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951975628&doi=10.1109%2fSCORED.2010.5704027&partnerID=40&md5=9fb8fa8077a458851deb3a375e6a6c66 https://irepository.uniten.edu.my/handle/123456789/29639 5704027 381 385 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Acoustic emission
Component
Partial discharge sources
Acoustic emissions
Engineering research
Innovation
Oil filled transformers
Partial discharges
Power transformers
Tanks (containers)
Acoustic emission signal
AE signals
Catastrophic failures
Component
Data acquisition system
Detection system
Experimental setup
Insulation failures
Partial discharge measurements
Partial discharge sources
Pressboard insulation
Transformer oil
Signal detection
spellingShingle Acoustic emission
Component
Partial discharge sources
Acoustic emissions
Engineering research
Innovation
Oil filled transformers
Partial discharges
Power transformers
Tanks (containers)
Acoustic emission signal
AE signals
Catastrophic failures
Component
Data acquisition system
Detection system
Experimental setup
Insulation failures
Partial discharge measurements
Partial discharge sources
Pressboard insulation
Transformer oil
Signal detection
Thayoob Y.H.M.
Abidin N.F.
Zakaria Z.
Ramli A.Q.
Lee C.M.
Detection of acoustic emission signals from partial discharge sources in oil-pressboard insulation system
description Partial Discharges are major source of insulation failure in power transformers. Therefore, partial discharge (PD) measurement has been commonly carried out to detect and monitor PD activity in insulation in order to avoid from any catastrophic failure. In this research work, acoustic emission (AE) detection system is used to detect PD in an experimental tank filled with transformer oil. Three different types of PD sources to generate PD in the experimental tank are created from pressboards which are the plain pressboard, the floating metal in the pressboard and the bubble in pressboard. The AE signals due to the occurrence of PD from these sources are captured and recorded. Due to the large number of AE signals to be recorded by the Data Acquisition System, some of these signals may not be stored correctly in the system. Some of these signals may also be affected by the reflection and refraction phenomena, interference and attenuation of the AE signals. Hence, the preprocessing and validation of the acquired AE signals from the experimental setup are also explored in this paper. Finally, the valid AE signals due to three different types of PD sources are identified for further analysis. �2010 IEEE.
author2 6505876050
author_facet 6505876050
Thayoob Y.H.M.
Abidin N.F.
Zakaria Z.
Ramli A.Q.
Lee C.M.
format Conference paper
author Thayoob Y.H.M.
Abidin N.F.
Zakaria Z.
Ramli A.Q.
Lee C.M.
author_sort Thayoob Y.H.M.
title Detection of acoustic emission signals from partial discharge sources in oil-pressboard insulation system
title_short Detection of acoustic emission signals from partial discharge sources in oil-pressboard insulation system
title_full Detection of acoustic emission signals from partial discharge sources in oil-pressboard insulation system
title_fullStr Detection of acoustic emission signals from partial discharge sources in oil-pressboard insulation system
title_full_unstemmed Detection of acoustic emission signals from partial discharge sources in oil-pressboard insulation system
title_sort detection of acoustic emission signals from partial discharge sources in oil-pressboard insulation system
publishDate 2023
_version_ 1806425556071219200
score 13.211869