Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering |
| Subtitle of host publication | Innovation and Beyond, SCOReD 2010 |
| Pages | 381-385 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 01 Dec 2010 |
| Event | 2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010 - Kuala Lumpur, Malaysia Duration: 13 Dec 2010 → 14 Dec 2010 |
Publication series
| Name | Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010 |
|---|
Other
| Other | 2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010 |
|---|---|
| Country | Malaysia |
| City | Kuala Lumpur |
| Period | 13/12/10 → 14/12/10 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Education
Cite this
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Detection of acoustic emission signals from partial discharge sources in oil-pressboard insulation system. / Thayoob, Yasmin Hanum Md; Abidin, Nur Faizah; Zakaria, Zurita; Ramli, Ahmad Qisti; Lee, Chai Min.
Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010. 2010. p. 381-385 5704027 (Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Detection of acoustic emission signals from partial discharge sources in oil-pressboard insulation system
AU - Thayoob, Yasmin Hanum Md
AU - Abidin, Nur Faizah
AU - Zakaria, Zurita
AU - Ramli, Ahmad Qisti
AU - Lee, Chai Min
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79951975628&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951975628&partnerID=8YFLogxK
U2 - 10.1109/SCORED.2010.5704027
DO - 10.1109/SCORED.2010.5704027
M3 - Conference contribution
AN - SCOPUS:79951975628
SN - 9781424486489
T3 - Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010
SP - 381
EP - 385
BT - Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering
ER -