Transient analysis for leak signature identification based on Hilbert Huang transform and integrated kurtosis algorithm for z-notch filter technique / (Record no. 7808)

MARC details
000 -LEADER
fixed length control field 03575ntm a2200361 i 4500
001 - CONTROL NUMBER
control field vtls000104435
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251117113404.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180723s2018 my a f a m 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0005235(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905141505
Level of effort used to assign nonsubject heading access points hanafiah
Level of effort used to assign subject headings 201808131535
Level of effort used to assign classification fateeha
-- 201807231636
-- fateeha
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
Language of cataloging eng
Transcribing agency UMP
Description conventions rda
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) FKM .H36 2018 r Thesis
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Muhammad Hanafi Yusop,
Relator term author.
245 10 - TITLE STATEMENT
Title Transient analysis for leak signature identification based on Hilbert Huang transform and integrated kurtosis algorithm for z-notch filter technique /
Statement of responsibility, etc. Muhammad Hanafi Yusop
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Kuantan, Pahang :
Name of producer, publisher, distributor, manufacturer UMP,
Date of production, publication, distribution, manufacture, or copyright notice 2018
300 ## - PHYSICAL DESCRIPTION
Extent xv, 145 pages :
Other physical details illustrations (some color) ;
Dimensions 30 cm. +
Accompanying material 1 CD-ROM
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Source rdamedia
337 ## - MEDIA TYPE
Media type term computer
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
338 ## - CARRIER TYPE
Carrier type term computer disc
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
500 ## - GENERAL NOTE
General note Faculty of Mechanical Engineering
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Master of Science) -- Universiti Malaysia Pahang – 2018
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references
520 3# - SUMMARY, ETC.
Summary, etc. Signal processing is an important tool to analyse non-stationary and non linear data. Many techniques of analysis are available to process non stationary and non-linear data such as FFT, wavelets transform, and demodulation analysis. In a recent study, the analysis of pressure transient signals could be seen as an accurate and low-cost method for leak and feature detection in water distribution systems. Transient phenomena has occur due to the sudden changes in the fluid’s propagation in pipelines system caused by the rapid pressure and flow fluctuation. This is due to events such as closing and opening valves rapidly or through pump failure. Various methods of pressure transient analysis have been applied by several groups of researchers, such as cepstrum analysis, cross-correlation, wavelets analysis, empirical mode decomposition (EMD) and instantaneous frequency analysis. In this research, it is to apply the Hilbert-Huang transform (HHT) as a method to analyse the pressure transient signal. The HHT is a way to decompose a signal into intrinsic mode functions (IMF). However, this method has the difficulty in selecting the suitable IMF for the next data post-processing method, which is Hilbert Transform (HT). Previous researchers normally select the IMF visually, based on the user’s experience, and introduced a merit index that allows the automatic selection of the IMF. The current research presents the implementation of an integrated kurtosisbased algorithm for a z-filter technique (Ikaz) to kurtosis ratio (Ikaz-kurtosis), for this allows automatic selection of the IMF that should be used. This technique is demonstrated on a 67.90-meter medium high-density polyethylene (MDPE) pipe installed with a single artificial leak demonstrator. The results using the Ikaz-kurtosis ratio revealed that the method could be used as an automatic selection of the IMF even though the noise level ratio of the signal is lower. Despite this, the Ikaz-kurtosis ratio method is recommended as a means to implement an automatic selection technique of the IMF for HHT analysis.
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 Disertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Theses
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost Library of Congress Classification   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   FKM .H36 2018 r Thesis 0000123628 04/09/2019 1 04/09/2019 Thesis
  Not lost Library of Congress Classification   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   CD 11406 | FKM .H36 2018 r Thesis 0000123629 04/09/2019 1 04/09/2019 Thesis

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