02126ntm a2200253 a 4500 vtls000081940 KUKTEM 20251117113228.0 141016t2013 my a f m 001 0 eng d THE0005821(Local) 201905131526 aida 201411051232 safura 201410161032 Fida UMP TA418.84 .F57 2013 r Bc. Mohd Firdhaus Ahmad Leak detection in pipelines using ensemble empirical mode decomposition / Mohd Firdhaus Ahmad Kuantan, Pahang : UMP, 2013 xvi, 68 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2013 Bibliography : p.61-63 This 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. Acoustic emission testing Pipelines 0 0 0 1 20000 20000 2019-09-04 0 TA418.84 .F57 2013 r Bc. 0000086561 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 8220 | TA418.84 .F57 2013 r Bc. 0000086562 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 5076 5082 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992