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De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis / Mohd Zul-Hilmi Bin Mohamad

By:

Mohd Zul-Hilmi Mohamad

Material type: Text

TextPublication details: Kuantan, Pahang : UMP , 2009Description: xiii, 78 p. : ill. (some col.) ; 30 cm. + 1 computer discISBN:

THE0005712(Local)

Other title:

De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis [electronic resource]

Subject(s):

Dissertation note: Project paper (Bachelor of Mechanical Engineering with Automotive) -- Universiti Malaysia Pahang - 2009 Abstract: 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

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Holdings ( 2 )
Title notes ( 3 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	TA413 .Z85 2009 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000046305
Final Year Report	UMPLIB PEKAN	CD 4453 \| TA413 .Z85 2009 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000046306

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