03390ntm a2200373 i 4500 vtls000105329 KUKTEM 20251117113405.0 180927t20182018my da f am 000 0 eng d THE0005254(Local) 201905141527 hanafiah 201809271549 saini UMP eng UMP rda FKM .M354 2018 r Thesis Makeen Mohd Amin, author. Leak detection in medium density polyethylene pipe using ensemble empirical mode decomposition method / Makeen Mohd Amin Kuantan, Pahang : UMP, 2018 © 2018 xii, 81 pages : illustrations (some color), charts ; 30 cm. + 1 CD-ROM text rdacontent text rdacontent unmediated rdamedia computer rdamedia volume rdacarrier computer disc rdacarrier text file PDF rda Faculty of Mechanical Engineering Thesis (Master of Engineering (Mechanical)) -- Universiti Malaysia Pahang – 2018 Includes bibliographical references Nowadays, there are many approaches to the methods for detecting pipeline’s feature either from external or internal. The only argument is which method will deliver the most effective result with the advantage of time-saving and human-friendly. The results were influenced by the surrounding noise either from inner or the outer pipeline networks. This thesis mainly focuses on the detection features in pipeline network using Ensemble Empirical Mode Decomposition Method (EEMD). The objectives of this thesis are to study and analyse data by using EEMD method for leakage detection in the pipeline system and identify and compare the leakage position between the measured distance and analysed distance. Therefore, the test rig was built by using 56m polyethene pipe with the leak as the main feature. Solenoid valve is used to create water hammering phenomenon. The water hammering phenomenon will generate a transient wave inside the pipe. The data was collected using DASYLab software and analysed using MATLAB software. The leakage and outlet position were determined by undergoing intrinsic mode function analysis (IMF) and later analysed by their respective instantaneous frequency analysis (IF) using EEMD method. The experiment was runs in two situations, firstly by closing the leakage valve and the other one by opening the valve to create leakage. The analysed results show that the position of the outlet is almost similar to the measured distance with 0.55% and 6% of percentage error. The analysed leakage location is also determined and compared to the measured distance. It indicates that only 3.21% of error between the measured distance and analysed distance and analysed distance. It can be concluded that the EEMD analysis is one of the best methods to be the approach in leak detection of either underground or above ground piping system. In addition, this method can be said as low in cost and energy saving. Faculty of Mechanical Engineering Dissertations Universities and colleges Disertations Theses 0 0 lcc 0 1 20000 20000 2019-09-04 0 FKM .M354 2018 r Thesis 0000125024 2019-09-04 00:00:00 1 2019-09-04 THESIS 0 0 lcc 0 0 20000 20000 2019-09-04 0 CD 11600 | FKM .M354 2018 r Thesis 0000125025 2022-07-04 00:00:00 1 2019-09-04 THESIS VIRTUA40 7857 7863 VTLSSORT0080*0200*0400*0900*1000*2450*2640*2641*3000*3360*3361*3370*3371*3380*3381*3470*5000*5020*5040*5200*6100*6500*6501*9992