Leak Detection in Gas Pipeline using Hilbert-Huang Transform
This paper proposes a leak detection method using acoustic. The Hamming chirp signal injected into the pipeline system and the estimation of the leak location from the delay time passing by the reflection in the pipeline if there is a leak. By using Hilbert-Huang Transform (HHT), it can give a usefu...
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| Format: | Article |
| Language: | en |
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Trans Tech Publications
2015
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| Online Access: | http://umpir.ump.edu.my/id/eprint/14575/6/fkm-2015-adnan-Leak%20detection%20in%20gas%20pipeline%20using%20hilbert0001.pdf http://umpir.ump.edu.my/id/eprint/14575/ https://www.scientific.net/AMM.815.403 |
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| _version_ | 1831524006505742336 |
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| author | N. F., Adnan M. F., Ghazali Makeen, Mohd Amin A. M. A., Hamat |
| author_facet | N. F., Adnan M. F., Ghazali Makeen, Mohd Amin A. M. A., Hamat |
| author_sort | N. F., Adnan |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper proposes a leak detection method using acoustic. The Hamming chirp signal injected into the pipeline system and the estimation of the leak location from the delay time passing by the reflection in the pipeline if there is a leak. By using Hilbert-Huang Transform (HHT), it can give a useful signal to verify the leak. HHT transforms Empirical Mode Decomposition (EMD)and Hilbert Spectrum analysis to perform time-frequency analysis. The leak location can be detected by
multiplying by the speed of sound. This simple method gives accurate leak location and easy to implement. |
| format | Article |
| id | my.ump.umpir.14575 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2015 |
| publisher | Trans Tech Publications |
| record_format | eprints |
| spelling | my.ump.umpir.145752018-01-12T02:12:15Z http://umpir.ump.edu.my/id/eprint/14575/ Leak Detection in Gas Pipeline using Hilbert-Huang Transform N. F., Adnan M. F., Ghazali Makeen, Mohd Amin A. M. A., Hamat TJ Mechanical engineering and machinery This paper proposes a leak detection method using acoustic. The Hamming chirp signal injected into the pipeline system and the estimation of the leak location from the delay time passing by the reflection in the pipeline if there is a leak. By using Hilbert-Huang Transform (HHT), it can give a useful signal to verify the leak. HHT transforms Empirical Mode Decomposition (EMD)and Hilbert Spectrum analysis to perform time-frequency analysis. The leak location can be detected by multiplying by the speed of sound. This simple method gives accurate leak location and easy to implement. Trans Tech Publications 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14575/6/fkm-2015-adnan-Leak%20detection%20in%20gas%20pipeline%20using%20hilbert0001.pdf N. F., Adnan and M. F., Ghazali and Makeen, Mohd Amin and A. M. A., Hamat (2015) Leak Detection in Gas Pipeline using Hilbert-Huang Transform. Applied Mechanics and Materials, 815. pp. 403-407. ISSN 1662-7482. (Published) https://www.scientific.net/AMM.815.403 doi: 10.4028/www.scientific.net/AMM.815.403 |
| spellingShingle | TJ Mechanical engineering and machinery N. F., Adnan M. F., Ghazali Makeen, Mohd Amin A. M. A., Hamat Leak Detection in Gas Pipeline using Hilbert-Huang Transform |
| title | Leak Detection in Gas Pipeline using Hilbert-Huang Transform |
| title_full | Leak Detection in Gas Pipeline using Hilbert-Huang Transform |
| title_fullStr | Leak Detection in Gas Pipeline using Hilbert-Huang Transform |
| title_full_unstemmed | Leak Detection in Gas Pipeline using Hilbert-Huang Transform |
| title_short | Leak Detection in Gas Pipeline using Hilbert-Huang Transform |
| title_sort | leak detection in gas pipeline using hilbert-huang transform |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/14575/6/fkm-2015-adnan-Leak%20detection%20in%20gas%20pipeline%20using%20hilbert0001.pdf http://umpir.ump.edu.my/id/eprint/14575/ https://www.scientific.net/AMM.815.403 |
| url_provider | http://umpir.ump.edu.my/ |