NDLI: Location of material flaws using wavelet analysis and neural network

Content Provider	IEEE Xplore Digital Library
Author	Solis, M. Benitez, H. Medina, L. Gonzalez, G. Leija, L.
Copyright Year	2002
Abstract	Ultrasonic techniques combined with digital signal processing schemes have been successfully used to detect flaws in material for a number of years. Recently, wavelet analysis and pattern recognition have shown some advantages over the traditional methods, such as Fourier analysis to perform a time-frequency analysis of ultrasonic signals coming from material under testing. The aim of this work is to detect and locate material defects using ultrasonic signals generated by a 3.5 MHz transducer and pattern recognition. The detected echoes are pre-processed applying the Hilbert transform to produce the signal envelopes and then normalise them to properly feed the network. Signals are wavelet-transformed (Daubechies coefficients) to obtain the time-frequency data to train the network (ART2: Adaptive Resonance Theory class two). Consequently, a number of signals are chosen to train the network so patterns can be formed. Thus, the trained network is able to generate new patterns independently of the wavelet analysis. Aluminium material with artificially produced defects was put under test. A Krautkramer ultrasonic transducer immersed in water was used to generate and detect echoes coming from, the testing material. The transducer was moved along a straight line at equally space distances and signals obtained for each position. Once the signals are acquired, a few of them were chosen to train the network and the rest of them were used to experimentally validate our system. This approach, can generate a pattern matrix containing the defects and their localisations. Visualisation of this matrix allows us to identify and localise the faults. Also, it is able to discriminate, between flaws and echoes coming from corners or second-time around echoes.
Sponsorship	Ultransonics Ferroelectr., & Frequency Control Soc
Starting Page	841
Ending Page	844
File Size	487404
Page Count	4
File Format	PDF
ISBN	0780375823
ISSN	10510117
DOI	10.1109/ULTSYM.2002.1193528
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-10-08
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet analysis Neural networks Pattern analysis Materials testing Ultrasonic transducers Signal analysis Performance analysis Pattern recognition Time frequency analysis Ultrasonic imaging
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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