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008 180723s2018 my a f a m 000 0 eng d
020 _aTHE0005235(Local)
039 9 _a201905141505
_bhanafiah
_c201808131535
_dfateeha
_y201807231636
_zfateeha
040 _aUMP
_beng
_cUMP
_erda
090 _aFKM .H36 2018 r Thesis
100 0 _aMuhammad Hanafi Yusop,
_eauthor.
245 1 0 _aTransient analysis for leak signature identification based on Hilbert Huang transform and integrated kurtosis algorithm for z-notch filter technique /
_cMuhammad Hanafi Yusop
264 1 _aKuantan, Pahang :
_bUMP,
_c2018
300 _axv, 145 pages :
_billustrations (some color) ;
_c30 cm. +
_e1 CD-ROM
336 _atext
_2rdacontent
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
337 _acomputer
_2rdamedia
338 _avolume
_2rdacarrier
338 _acomputer disc
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aFaculty of Mechanical Engineering
502 _aThesis (Master of Science) -- Universiti Malaysia Pahang – 2018
504 _aIncludes bibliographical references
520 3 _aSignal 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 2 0 _aFaculty of Mechanical Engineering
_xDissertations
650 0 _aUniversities and colleges
_xDisertations
650 0 _aTheses
999 _aVIRTUA40
_c7808
_d7814
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