Entropy application in partial discharge analysis with non-intrusive measurement
Partial discharge (PD) occurs when insulation deterioration happens in electrical apparatus. It is often detected in order to evaluate the state of insulation. For metal-clad equipments, external sensors which are easy to install and interruption-free on operations are preferred. However, their perf...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/84742 http://hdl.handle.net/10220/12378 |
| _version_ | 1811684776602501120 |
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| author | Luo, Guomin. Zhang, Daming. |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Luo, Guomin. Zhang, Daming. |
| author_sort | Luo, Guomin. |
| collection | NTU |
| description | Partial discharge (PD) occurs when insulation deterioration happens in electrical apparatus. It is often detected in order to evaluate the state of insulation. For metal-clad equipments, external sensors which are easy to install and interruption-free on operations are preferred. However, their performances are compromised by heavy noise. Although time-frequency (TF) spectrum provides much information to discriminate PDs and noises, automatic selection remains a tough issue in field application. Entropy, a measure of disorder, is applied in this paper to extract PD pulses automatically. This entropy-based algorithm is implemented and examined by two field-collected datasets. Practical results show that true PDs can be identified and extracted effectively. |
| first_indexed | 2024-10-01T04:34:00Z |
| format | Conference Paper |
| id | ntu-10356/84742 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:34:00Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/847422020-03-07T13:24:45Z Entropy application in partial discharge analysis with non-intrusive measurement Luo, Guomin. Zhang, Daming. School of Electrical and Electronic Engineering International Congress on Computer Applications and Computational Science (2nd : 2011) DRNTU::Engineering::Electrical and electronic engineering Partial discharge (PD) occurs when insulation deterioration happens in electrical apparatus. It is often detected in order to evaluate the state of insulation. For metal-clad equipments, external sensors which are easy to install and interruption-free on operations are preferred. However, their performances are compromised by heavy noise. Although time-frequency (TF) spectrum provides much information to discriminate PDs and noises, automatic selection remains a tough issue in field application. Entropy, a measure of disorder, is applied in this paper to extract PD pulses automatically. This entropy-based algorithm is implemented and examined by two field-collected datasets. Practical results show that true PDs can be identified and extracted effectively. 2013-07-26T06:08:01Z 2019-12-06T15:50:37Z 2013-07-26T06:08:01Z 2019-12-06T15:50:37Z 2012 2012 Conference Paper Luo, G., & Zhang, D. (2012). Entropy Application in Partial Discharge Analysis with Non-intrusive Measurement. Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science, 2, 319-324. https://hdl.handle.net/10356/84742 http://hdl.handle.net/10220/12378 10.1007/978-3-642-28308-6_43 en © 2012 Springer-Verlag Berlin Heidelberg. |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Luo, Guomin. Zhang, Daming. Entropy application in partial discharge analysis with non-intrusive measurement |
| title | Entropy application in partial discharge analysis with non-intrusive measurement |
| title_full | Entropy application in partial discharge analysis with non-intrusive measurement |
| title_fullStr | Entropy application in partial discharge analysis with non-intrusive measurement |
| title_full_unstemmed | Entropy application in partial discharge analysis with non-intrusive measurement |
| title_short | Entropy application in partial discharge analysis with non-intrusive measurement |
| title_sort | entropy application in partial discharge analysis with non intrusive measurement |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/84742 http://hdl.handle.net/10220/12378 |
| work_keys_str_mv | AT luoguomin entropyapplicationinpartialdischargeanalysiswithnonintrusivemeasurement AT zhangdaming entropyapplicationinpartialdischargeanalysiswithnonintrusivemeasurement |