000 02126ntm a2200253 a 4500
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003 KUKTEM
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008 141016t2013 my a f m 001 0 eng d
020 _aTHE0005821(Local)
039 9 _a201905131526
_baida
_c201411051232
_dsafura
_y201410161032
_zFida
040 _aUMP
090 _aTA418.84 .F57 2013 r Bc.
100 0 _aMohd Firdhaus Ahmad
245 1 0 _aLeak detection in pipelines using ensemble empirical mode decomposition /
_cMohd Firdhaus Ahmad
260 _aKuantan, Pahang :
_bUMP,
_c2013
300 _axvi, 68 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD-ROM
502 _aProject paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2013
504 _aBibliography : p.61-63
520 3 _aThis thesis is discusses the techniques of leak detection in pipe system by using “Ensemble Empirical Mode Decomposition” method (EEMD). Effective leak detection is important to prevent leaks in pipes, particularly involving irrigation and drainage industry. Delay in detecting leaks can result an economic losses and environmental damage. In this study, water is used as the main medium and MDPE and GI was used. Wave propagation will be analyzed in the EEMD and the results of the analysis in the pipe with and without leakage will be compared. To detect the signal wave in the pipe, strain gauge pressure transducer and piezoelectric sensor was used. Transient signal that triggered by an automatic solenoid valve was used as a reference of the presence of a leak in the wave signal data in a particular period. The results of the analysis were successfully demonstrated by the presence of a leak in the pipe MDPE and GI in certain period and for a particular sample size. From the results, it can be concluded that the GI pipes is easier to analyzed compared to MDPE pipe. This is because the speed of wave in GI pipes is higher and had more superficial wave propagation.
650 0 _aAcoustic emission testing
650 0 _aPipelines
999 _aVIRTUA40
_c5076
_d5082
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992