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020 _aTHE0005712(Local)
039 9 _a201905211458
_bhanafiah
_c201107132329
_dVLOAD
_y201006221002
_zFida
040 _aUMP
090 _aTA413 .Z85 2009 rs Bc.
100 0 _aMohd Zul-Hilmi Mohamad
245 1 0 _aDe-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis /
_cMohd Zul-Hilmi Bin Mohamad
246 3 _aDe-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis
_h[electronic resource]
260 _aKuantan, Pahang :
_bUMP ,
_c2009
300 _axiii, 78 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 computer disc
502 _aProject paper (Bachelor of Mechanical Engineering with Automotive) -- Universiti Malaysia Pahang - 2009
504 _aBibliography : p. 52-53
520 3 _aWavelet 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
650 0 _aAcoustic emission testing
650 0 _aWave packets
999 _aVIRTUA40
_c1981
_d1987
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*9992