De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis /
Mohd Zul-Hilmi Mohamad
De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis / De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis [electronic resource] Mohd Zul-Hilmi Bin Mohamad - 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
THE0005712(Local)
Acoustic emission testing
Wave packets
De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis / De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis [electronic resource] Mohd Zul-Hilmi Bin Mohamad - 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
THE0005712(Local)
Acoustic emission testing
Wave packets