Detecting Leak in Gas Pipeline using Continuous Wavelet Transform and Kurtosis
The detection of the leak detection is the main investigation issue in order to get the fast and reliable leak detection method. Even thought the reasons for these leaks are very well known, some of the current method is quite complicated and not precise. In addition, it is all about time consuming...
| Main Authors: | , |
|---|---|
| Format: | Book Chapter |
| Language: | English |
| Published: |
Universiti Teknikal Malaysia Melaka (UTeM)
2015
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/7562/1/Detecting_Leak_in_Gas_Pipeline_using_Continuous_Wavelet_Transform_and_Kurtosis.pdf |
| _version_ | 1825821955512598528 |
|---|---|
| author | N. F., Adnan M. F., Ghazali |
| author_facet | N. F., Adnan M. F., Ghazali |
| author_sort | N. F., Adnan |
| collection | UMP |
| description | The detection of the leak detection is the main investigation issue in order to get the fast and reliable leak detection method. Even thought the reasons for these leaks are very well known, some of the current method is quite complicated and not precise. In addition, it is all about time consuming and cost of instalment. In this paper, we proposed a leak detection method using acoustic. The chirp signal injected into the pipeline system and the estimation of the leak detection from the delay time passing by the reflection of pressure wave in the pipeline if there have a leak. Using wavelet as the noise filtering, there can give a useful signal to verify the leak. Wavelet is the tool to de-noise the noise from the original signal and then tuned using maximum values of kurtosis. The main idea is the echoes detection of the pressure wave from the signal given by the original signal. Kurtosis plays the main role as the component to choose the filter parameter because of their nature to measure spikiness. The result shows that the highest value of kurtosis for the pipeline with leak is 6.465 while for the pipe without leak, the highest value for the kurtosis 5.3214.
|
| first_indexed | 2024-03-06T11:49:22Z |
| format | Book Chapter |
| id | UMPir7562 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:49:22Z |
| publishDate | 2015 |
| publisher | Universiti Teknikal Malaysia Melaka (UTeM) |
| record_format | dspace |
| spelling | UMPir75622022-10-25T00:57:46Z http://umpir.ump.edu.my/id/eprint/7562/ Detecting Leak in Gas Pipeline using Continuous Wavelet Transform and Kurtosis N. F., Adnan M. F., Ghazali TJ Mechanical engineering and machinery The detection of the leak detection is the main investigation issue in order to get the fast and reliable leak detection method. Even thought the reasons for these leaks are very well known, some of the current method is quite complicated and not precise. In addition, it is all about time consuming and cost of instalment. In this paper, we proposed a leak detection method using acoustic. The chirp signal injected into the pipeline system and the estimation of the leak detection from the delay time passing by the reflection of pressure wave in the pipeline if there have a leak. Using wavelet as the noise filtering, there can give a useful signal to verify the leak. Wavelet is the tool to de-noise the noise from the original signal and then tuned using maximum values of kurtosis. The main idea is the echoes detection of the pressure wave from the signal given by the original signal. Kurtosis plays the main role as the component to choose the filter parameter because of their nature to measure spikiness. The result shows that the highest value of kurtosis for the pipeline with leak is 6.465 while for the pipe without leak, the highest value for the kurtosis 5.3214. Universiti Teknikal Malaysia Melaka (UTeM) 2015 Book Chapter NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/7562/1/Detecting_Leak_in_Gas_Pipeline_using_Continuous_Wavelet_Transform_and_Kurtosis.pdf N. F., Adnan and M. F., Ghazali (2015) Detecting Leak in Gas Pipeline using Continuous Wavelet Transform and Kurtosis. In: Proceeding Book Mucet 2014 : Engineering & Technology. Universiti Teknikal Malaysia Melaka (UTeM), Melaka, pp. 347-351. ISBN 978-967-0257-53-2 http://ocs.utem.edu.my/index.php/mucet2014/MUCET2014/paper/viewFile/132/39 |
| spellingShingle | TJ Mechanical engineering and machinery N. F., Adnan M. F., Ghazali Detecting Leak in Gas Pipeline using Continuous Wavelet Transform and Kurtosis |
| title | Detecting Leak in Gas Pipeline using Continuous Wavelet Transform and Kurtosis |
| title_full | Detecting Leak in Gas Pipeline using Continuous Wavelet Transform and Kurtosis |
| title_fullStr | Detecting Leak in Gas Pipeline using Continuous Wavelet Transform and Kurtosis |
| title_full_unstemmed | Detecting Leak in Gas Pipeline using Continuous Wavelet Transform and Kurtosis |
| title_short | Detecting Leak in Gas Pipeline using Continuous Wavelet Transform and Kurtosis |
| title_sort | detecting leak in gas pipeline using continuous wavelet transform and kurtosis |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/7562/1/Detecting_Leak_in_Gas_Pipeline_using_Continuous_Wavelet_Transform_and_Kurtosis.pdf |
| work_keys_str_mv | AT nfadnan detectingleakingaspipelineusingcontinuouswavelettransformandkurtosis AT mfghazali detectingleakingaspipelineusingcontinuouswavelettransformandkurtosis |