The Use of Transmission Line Modelling for Detection of Leakage in Pipeline / A. Malik Hamat...[et al.]
Transmission Line Modelling (TLM) is a technique, computationally very efficient and versatile, for solving variety of engineering application regarding to wave and diffusion phenomena. This paper implemented a TLM modelling to detect and locate leak in pipeline networks. The original data from the...
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| Main Authors: | , , |
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| Format: | Book |
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Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM),
2017.
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| Online Access: | Link Metadata |
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| LEADER | 00000 am a22000003u 4500 | ||
|---|---|---|---|
| 001 | repouitm_39123 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Hamat, A. Malik |e author |
| 700 | 1 | 0 | |a Ghazali, M. Fairusham |e author |
| 700 | 1 | 0 | |a Priyandoko, Gigih |e author |
| 245 | 0 | 0 | |a The Use of Transmission Line Modelling for Detection of Leakage in Pipeline / A. Malik Hamat...[et al.] |
| 260 | |b Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM), |c 2017. | ||
| 500 | |a https://ir.uitm.edu.my/id/eprint/39123/1/39123.pdf | ||
| 520 | |a Transmission Line Modelling (TLM) is a technique, computationally very efficient and versatile, for solving variety of engineering application regarding to wave and diffusion phenomena. This paper implemented a TLM modelling to detect and locate leak in pipeline networks. The original data from the TLM modelling were analysed using time-frequency representation (TFR). A well-known and established signal processing method of TFR based wavelet transform was chosen for the data analysis. The results presented two different cases; pipe network without leak and the second one with existing of leak. From the study, features in the pipe networks such as inlet, valve, leak and outlet were successfully detected and located using TLM and wavelet analysis. | ||
| 546 | |a en | ||
| 690 | |a TJ Mechanical engineering and machinery | ||
| 690 | |a Electronics | ||
| 655 | 7 | |a Article |2 local | |
| 655 | 7 | |a PeerReviewed |2 local | |
| 787 | 0 | |n https://ir.uitm.edu.my/id/eprint/39123/ | |
| 856 | 4 | 1 | |u https://ir.uitm.edu.my/id/eprint/39123/ |z Link Metadata |