01910nam a2200265 a 4500 vtls000046498 KUKTEM 20251114204432.0 100622t2009 my da f m 000 0 eng d THE0005712(Local) 201905211458 hanafiah 201107132329 VLOAD 201006221002 Fida UMP TA413 .Z85 2009 rs Bc. Mohd Zul-Hilmi Mohamad De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis / Mohd Zul-Hilmi Bin Mohamad De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis [electronic resource] Kuantan, Pahang : UMP , 2009 xiii, 78 p. : ill. (some col.) ; 30 cm. + 1 computer disc Project paper (Bachelor of Mechanical Engineering with Automotive) -- Universiti Malaysia Pahang - 2009 Bibliography : p. 52-53 Wavelet transformation technique was founded to be more appropriate to analyse the AE signals under such situations. Wavelet transformation technique is used to de-noise the Acoustic Emission data. The de-noised signal is classified to identify a signature based on the type of phenomena. Through various filtering/thresholding techniques, it was found that the original signal was getting filtered out along with noise. There are many type of wavelet that can be used for de-noising data. However, daubechies wavelet is the most wavelet type is use in signal analysis compare to the other wavelet. A signal can be generates using one-dimensional wavelet packet analysis contain in MATLAB to verify the result of de-noising signal Acoustic emission testing Wave packets 0 0 0 1 20000 20000 2019-09-04 0 TA413 .Z85 2009 rs Bc. 0000046305 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 4453 | TA413 .Z85 2009 rs Bc. 0000046306 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 1981 1987 VTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*9992