MARC details
| 000 -LEADER |
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| fixed length control field |
03398ntm a2200289 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
vtls000099807 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251117113337.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
170503t2016 my a f a m 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0005231(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
|---|
| Level of rules in bibliographic description |
201905141239 |
| Level of effort used to assign nonsubject heading access points |
hanafiah |
| Level of effort used to assign subject headings |
201710111541 |
| Level of effort used to assign classification |
aishah |
| -- |
201705031024 |
| -- |
fateeha |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
FKM .F38 2016 r Thesis |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Nurul Fatiehah Adnan |
| 245 10 - TITLE STATEMENT |
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| Title |
Leak detection in gas pipeline based on time-frequency analysis / |
| Statement of responsibility, etc. |
Nurul Fatiehah Adnan |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Kuantan, Pahang : |
| Name of publisher, distributor, etc. |
UMP, |
| Date of publication, distribution, etc. |
2016 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvii, 114 p. : |
| Other physical details |
ill. (some col.) ; |
| Dimensions |
30 cm. + |
| Accompanying material |
1 CD ROM |
| 500 ## - GENERAL NOTE |
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| General note |
Faculty of Mechanical Engineering |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (Master of Engineering in Mechanical Engineering) -- Universiti Malaysia Pahang – 2016 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Bibliography : p. 98-104 |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
Pipelines are very important part of any engineering infrastructure. Gas leak is a prominent problem associated with pipelines and it is inevitable in many systems. Prevention of leak is important since gas leak will lead to deficiency and also effects the environment. The safety is one of the main reasons why leak detection is popular in research and development sector. Subsequently, many researchers studied various available methods for leak detection in gas pipeline. One of them is acoustic method. Leak in gas pipelines can be detected and located precisely using certain sensor. However, high fast alarm rate is the main problem in detecting leak. Non-stationary signal is produced by gas flowing in the pipeline, making the analysis of signal becomes more difficult. The scope of this research is detecting and locating leak in straight pipeline and L-bend. The experiments were conducted by injecting the sinusoidal wave into the pipeline and the reflection of the signal is collected by using a microphone. The data is acquired by DASYlab and analysed using Matlab software. The important element in this study is the signal echoes produced by the disturbance of gas flow with leak (defect) or Lbend (feature). Analysing the signal echoes is very closely related to signal processing. In conjunction to that, Hilbert transform (HT) and Ensemble Empirical Mode Decomposition (EEMD) or simply called as Hilbert Huang Transform (HHT) is applied to produce robust results. EEMD is adopted to decompose the signal into IMFs and each IMF is analysed using HT to get instantaneous phase and instantaneous frequency. Besides, the study has shown that HT provides accurate leak location with application of instantaneous phase and instantaneous frequency. Hilbert spectrum (HS) has successfully displayed the energy-time-frequency distribution in proper presentation. The percentage error for all experiment is below 5 percent. In conclusion, HHT is a promising signal processing method that can be used to analyse the echoes acquired from experiments, producing accurate leak location with this method, it is possible to identify leaks and also features in a pipeline network with acceptable errors for both leak and L-bend. |
| 610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Faculty of Mechanical Engineering |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Universities and Colleges |
| General subdivision |
Dissertations |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Theses |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
<a href="http://ecollib.ump.edu.my/25855/">http://ecollib.ump.edu.my/25855/</a> |
| Public note |
Library access only |