Mohd Zul-Hilmi, Mohamad (2009) De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
|
Pdf
07.De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis.pdf - Accepted Version Download (2MB) | Preview |
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.
| Item Type: | Undergraduates Project Papers |
|---|---|
| Additional Information: | Project paper (Bachelor of Mechanical Engineering with Automotive) -- Universiti Malaysia Pahang - 2009, SV: MR MOHD HAFIZI BIN ZOHARI, CD NO.: 4453 |
| Uncontrolled Keywords: | Acoustic emission testing Wave packets |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Faculty/Division: | Faculty of Mechanical Engineering |
| Depositing User: | Rosfadilla Mohamad Zainun |
| Date Deposited: | 10 Feb 2011 04:28 |
| Last Modified: | 07 Sep 2023 04:14 |
| URI: | http://umpir.ump.edu.my/id/eprint/1090 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |