صورة الغلاف

A HYBRID FOURIER TRANSFORM -EMPIRICAL MODE DECOMPOSITION MODEL FOR LEAKAGE DETECTION

The development of underground pipeline plays a vital role in the advancement of the oil and gas industry in Malaysia and worldwide. Most existing pipelines are aged and tend to fail due to external and internal factors. Material fatigue, sudden changes in pipeline pressure or other critical factors...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: MOHD JAAFAR, NUR SYAKIRAH
التنسيق: أطروحة
اللغة:English
منشور في: 2019
الموضوعات:
T Technology (General)
الوصول للمادة أونلاين:http://utpedia.utp.edu.my/20501/1/Nur%20Syakirah%20binti%20Mohd%20Jaafar_16001470.pdf
http://utpedia.utp.edu.my/20501/
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id my-utp-utpedia.20501
record_format eprints
spelling my-utp-utpedia.205012021-08-30T16:31:41Z http://utpedia.utp.edu.my/20501/ A HYBRID FOURIER TRANSFORM -EMPIRICAL MODE DECOMPOSITION MODEL FOR LEAKAGE DETECTION MOHD JAAFAR, NUR SYAKIRAH T Technology (General) The development of underground pipeline plays a vital role in the advancement of the oil and gas industry in Malaysia and worldwide. Most existing pipelines are aged and tend to fail due to external and internal factors. Material fatigue, sudden changes in pipeline pressure or other critical factors lead to failure in pipelines and their material properties, impact on environmental conditions, and excessive internal and external loads. When the pipeline starts to deteriorate through mechanisms such as leakage, it is regarded as experiencing failure. Due to the rapid increase of spending on pipeline leak detection for the oil and gas industry, it is a challenging task to study the ways in which information from the time–frequency analysis of signal processing is communicated about leakages in pipelines. 2019-10 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20501/1/Nur%20Syakirah%20binti%20Mohd%20Jaafar_16001470.pdf MOHD JAAFAR, NUR SYAKIRAH (2019) A HYBRID FOURIER TRANSFORM -EMPIRICAL MODE DECOMPOSITION MODEL FOR LEAKAGE DETECTION. Masters thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
MOHD JAAFAR, NUR SYAKIRAH
A HYBRID FOURIER TRANSFORM -EMPIRICAL MODE DECOMPOSITION MODEL FOR LEAKAGE DETECTION
description The development of underground pipeline plays a vital role in the advancement of the oil and gas industry in Malaysia and worldwide. Most existing pipelines are aged and tend to fail due to external and internal factors. Material fatigue, sudden changes in pipeline pressure or other critical factors lead to failure in pipelines and their material properties, impact on environmental conditions, and excessive internal and external loads. When the pipeline starts to deteriorate through mechanisms such as leakage, it is regarded as experiencing failure. Due to the rapid increase of spending on pipeline leak detection for the oil and gas industry, it is a challenging task to study the ways in which information from the time–frequency analysis of signal processing is communicated about leakages in pipelines.
format Thesis
author MOHD JAAFAR, NUR SYAKIRAH
author_facet MOHD JAAFAR, NUR SYAKIRAH
author_sort MOHD JAAFAR, NUR SYAKIRAH
title A HYBRID FOURIER TRANSFORM -EMPIRICAL MODE DECOMPOSITION MODEL FOR LEAKAGE DETECTION
title_short A HYBRID FOURIER TRANSFORM -EMPIRICAL MODE DECOMPOSITION MODEL FOR LEAKAGE DETECTION
title_full A HYBRID FOURIER TRANSFORM -EMPIRICAL MODE DECOMPOSITION MODEL FOR LEAKAGE DETECTION
title_fullStr A HYBRID FOURIER TRANSFORM -EMPIRICAL MODE DECOMPOSITION MODEL FOR LEAKAGE DETECTION
title_full_unstemmed A HYBRID FOURIER TRANSFORM -EMPIRICAL MODE DECOMPOSITION MODEL FOR LEAKAGE DETECTION
title_sort hybrid fourier transform -empirical mode decomposition model for leakage detection
publishDate 2019
url http://utpedia.utp.edu.my/20501/1/Nur%20Syakirah%20binti%20Mohd%20Jaafar_16001470.pdf
http://utpedia.utp.edu.my/20501/
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score 13.250246

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