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

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 var...

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Main Author:	Mohd Zul-Hilmi, Mohamad
Format:	Undergraduates Project Papers
Language:	English English English English English
Published:	2009
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/1090/ http://umpir.ump.edu.my/id/eprint/1090/ http://umpir.ump.edu.my/id/eprint/1090/1/Mohd_Zul-Hilmi_Mohamad.pdf http://umpir.ump.edu.my/id/eprint/1090/4/De-noising%20of%20an%20experimental%20acoustic%20emissions%20%28AE%29%20data%20using%20one%20dimensional%20%281-D%29%20wavelet%20packet%20analysis%20-%20%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/1090/5/De-noising%20of%20an%20experimental%20acoustic%20emissions%20%28AE%29%20data%20using%20one%20dimensional%20%281-D%29%20wavelet%20packet%20analysis%20-%20%20References.pdf http://umpir.ump.edu.my/id/eprint/1090/6/De-noising%20of%20an%20experimental%20acoustic%20emissions%20%28AE%29%20data%20using%20one%20dimensional%20%281-D%29%20wavelet%20packet%20analysis%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/1090/7/De-noising%20of%20an%20experimental%20acoustic%20emissions%20%28AE%29%20data%20using%20one%20dimensional%20%281-D%29%20wavelet%20packet%20analysis%20-%20Table%20of%20content.pdf

id	ump-1090
recordtype	eprints
spelling	ump-10902017-03-09T01:50:14Z http://umpir.ump.edu.my/id/eprint/1090/ De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis Mohd Zul-Hilmi, Mohamad TA Engineering (General). Civil engineering (General) 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. 2009-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1090/1/Mohd_Zul-Hilmi_Mohamad.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1090/4/De-noising%20of%20an%20experimental%20acoustic%20emissions%20%28AE%29%20data%20using%20one%20dimensional%20%281-D%29%20wavelet%20packet%20analysis%20-%20%20Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1090/5/De-noising%20of%20an%20experimental%20acoustic%20emissions%20%28AE%29%20data%20using%20one%20dimensional%20%281-D%29%20wavelet%20packet%20analysis%20-%20%20References.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1090/6/De-noising%20of%20an%20experimental%20acoustic%20emissions%20%28AE%29%20data%20using%20one%20dimensional%20%281-D%29%20wavelet%20packet%20analysis%20-%20Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1090/7/De-noising%20of%20an%20experimental%20acoustic%20emissions%20%28AE%29%20data%20using%20one%20dimensional%20%281-D%29%20wavelet%20packet%20analysis%20-%20Table%20of%20content.pdf 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. http://iportal.ump.edu.my/lib/item?id=chamo:46498&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English English English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Mohd Zul-Hilmi, Mohamad De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis
description	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.
format	Undergraduates Project Papers
author	Mohd Zul-Hilmi, Mohamad
author_facet	Mohd Zul-Hilmi, Mohamad
author_sort	Mohd Zul-Hilmi, Mohamad
title	De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis
title_short	De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis
title_full	De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis
title_fullStr	De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis
title_full_unstemmed	De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis
title_sort	de-noising of an experimental acoustic emissions (ae) data using one dimensional (1-d) wavelet packet analysis
publishDate	2009
url	http://umpir.ump.edu.my/id/eprint/1090/ http://umpir.ump.edu.my/id/eprint/1090/ http://umpir.ump.edu.my/id/eprint/1090/1/Mohd_Zul-Hilmi_Mohamad.pdf http://umpir.ump.edu.my/id/eprint/1090/4/De-noising%20of%20an%20experimental%20acoustic%20emissions%20%28AE%29%20data%20using%20one%20dimensional%20%281-D%29%20wavelet%20packet%20analysis%20-%20%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/1090/5/De-noising%20of%20an%20experimental%20acoustic%20emissions%20%28AE%29%20data%20using%20one%20dimensional%20%281-D%29%20wavelet%20packet%20analysis%20-%20%20References.pdf http://umpir.ump.edu.my/id/eprint/1090/6/De-noising%20of%20an%20experimental%20acoustic%20emissions%20%28AE%29%20data%20using%20one%20dimensional%20%281-D%29%20wavelet%20packet%20analysis%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/1090/7/De-noising%20of%20an%20experimental%20acoustic%20emissions%20%28AE%29%20data%20using%20one%20dimensional%20%281-D%29%20wavelet%20packet%20analysis%20-%20Table%20of%20content.pdf
first_indexed	2023-09-18T21:53:55Z
last_indexed	2023-09-18T21:53:55Z
_version_	1777413952108494848

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

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