Loading…
Fluctuation Analyses for Pattern Classification in Nondestructive Materials Inspection
We review recent work on the application of fluctuation analyses of time series for pattern classification in nondestructive materials inspection. These analyses are based on the evaluation of time-series fluctuations across time intervals of increasing size, and were originally introduced in the st...
Saved in:
Published in: | EURASIP journal on advances in signal processing 2010-01, Vol.2010 (1), Article 262869 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c406t-1e383b36275e98d5a51f60a3a92eca728b64ff68108b5659099054060a1896873 |
---|---|
cites | cdi_FETCH-LOGICAL-c406t-1e383b36275e98d5a51f60a3a92eca728b64ff68108b5659099054060a1896873 |
container_end_page | |
container_issue | 1 |
container_start_page | |
container_title | EURASIP journal on advances in signal processing |
container_volume | 2010 |
creator | Vieira, A P de Moura, E P Gonçalves, L L |
description | We review recent work on the application of fluctuation analyses of time series for pattern classification in nondestructive materials inspection. These analyses are based on the evaluation of time-series fluctuations across time intervals of increasing size, and were originally introduced in the study of fractals. A number of examples indicate that this approach yields relevant features allowing the successful classification of patterns such as (i) microstructure signatures in cast irons, as probed by backscattered ultrasonic signals; (ii) welding defects in metals, as probed by TOFD ultrasonic signals; (iii) gear faults, based on vibration signals; (iv) weld-transfer modes, as probed by voltage and current time series; (v) microstructural composition in stainless steel, as probed by magnetic Barkhausen noise and magnetic flux signals. |
doi_str_mv | 10.1155/2010/262869 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_65ef33943b2f47e5a26459ec231de745</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_65ef33943b2f47e5a26459ec231de745</doaj_id><sourcerecordid>1671610587</sourcerecordid><originalsourceid>FETCH-LOGICAL-c406t-1e383b36275e98d5a51f60a3a92eca728b64ff68108b5659099054060a1896873</originalsourceid><addsrcrecordid>eNptkU1LAzEQhhdRsH6c_AN7FLSaj002OZZitVA_Duo1TNOJpGw3NdkV_PemrogHTzMMz7zDO29RnFFyRakQ14xQcs0kU1LvFSMqVT2WVJH9P_1hcZTSmhAhGWGj4nXW9LbrofOhLSctNJ8JU-lCLJ-g6zC25bSBlLzzdmB8Wz6EdoWpi3nRf2B5D5nz0KRy3qYt2h12Uhy4PMHTn3pcvMxunqd348Xj7Xw6WYxtRWQ3psgVX3LJaoFarQQI6iQBDpqhhZqppayck4oStRRSaKI1EXmTAFU6O-LHxXzQXQVYm230G4ifJoA334MQ3wzEztsGjRToONcVXzJX1SiAyUpotIzTFdaVyFrng9Y2hvc-GzQbnyw2DbQY-mSorKmkRHyfvRhQG0NKEd3vaUrMLgmzS8IMSWT6cqBTpto3jGYd-ph_nf7FvwDHN4eF</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1671610587</pqid></control><display><type>article</type><title>Fluctuation Analyses for Pattern Classification in Nondestructive Materials Inspection</title><source>Publicly Available Content Database</source><source>Springer Nature - SpringerLink Journals - Fully Open Access </source><creator>Vieira, A P ; de Moura, E P ; Gonçalves, L L</creator><creatorcontrib>Vieira, A P ; de Moura, E P ; Gonçalves, L L</creatorcontrib><description>We review recent work on the application of fluctuation analyses of time series for pattern classification in nondestructive materials inspection. These analyses are based on the evaluation of time-series fluctuations across time intervals of increasing size, and were originally introduced in the study of fractals. A number of examples indicate that this approach yields relevant features allowing the successful classification of patterns such as (i) microstructure signatures in cast irons, as probed by backscattered ultrasonic signals; (ii) welding defects in metals, as probed by TOFD ultrasonic signals; (iii) gear faults, based on vibration signals; (iv) weld-transfer modes, as probed by voltage and current time series; (v) microstructural composition in stainless steel, as probed by magnetic Barkhausen noise and magnetic flux signals.</description><identifier>ISSN: 1687-6180</identifier><identifier>ISSN: 1687-6172</identifier><identifier>EISSN: 1687-6180</identifier><identifier>DOI: 10.1155/2010/262869</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Classification ; Engineering ; Fluctuation ; Fractal analysis ; Inspection ; Microstructure ; Quantum Information Technology ; Review Article ; Signal Processing in Advanced Nondestructive Materials Inspection ; Signal,Image and Speech Processing ; Signatures ; Spintronics ; Time series ; Ultrasonic testing ; Weld defects</subject><ispartof>EURASIP journal on advances in signal processing, 2010-01, Vol.2010 (1), Article 262869</ispartof><rights>Vieira et al. 2010. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c406t-1e383b36275e98d5a51f60a3a92eca728b64ff68108b5659099054060a1896873</citedby><cites>FETCH-LOGICAL-c406t-1e383b36275e98d5a51f60a3a92eca728b64ff68108b5659099054060a1896873</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,37013</link.rule.ids></links><search><creatorcontrib>Vieira, A P</creatorcontrib><creatorcontrib>de Moura, E P</creatorcontrib><creatorcontrib>Gonçalves, L L</creatorcontrib><title>Fluctuation Analyses for Pattern Classification in Nondestructive Materials Inspection</title><title>EURASIP journal on advances in signal processing</title><addtitle>EURASIP J. Adv. Signal Process</addtitle><description>We review recent work on the application of fluctuation analyses of time series for pattern classification in nondestructive materials inspection. These analyses are based on the evaluation of time-series fluctuations across time intervals of increasing size, and were originally introduced in the study of fractals. A number of examples indicate that this approach yields relevant features allowing the successful classification of patterns such as (i) microstructure signatures in cast irons, as probed by backscattered ultrasonic signals; (ii) welding defects in metals, as probed by TOFD ultrasonic signals; (iii) gear faults, based on vibration signals; (iv) weld-transfer modes, as probed by voltage and current time series; (v) microstructural composition in stainless steel, as probed by magnetic Barkhausen noise and magnetic flux signals.</description><subject>Classification</subject><subject>Engineering</subject><subject>Fluctuation</subject><subject>Fractal analysis</subject><subject>Inspection</subject><subject>Microstructure</subject><subject>Quantum Information Technology</subject><subject>Review Article</subject><subject>Signal Processing in Advanced Nondestructive Materials Inspection</subject><subject>Signal,Image and Speech Processing</subject><subject>Signatures</subject><subject>Spintronics</subject><subject>Time series</subject><subject>Ultrasonic testing</subject><subject>Weld defects</subject><issn>1687-6180</issn><issn>1687-6172</issn><issn>1687-6180</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNptkU1LAzEQhhdRsH6c_AN7FLSaj002OZZitVA_Duo1TNOJpGw3NdkV_PemrogHTzMMz7zDO29RnFFyRakQ14xQcs0kU1LvFSMqVT2WVJH9P_1hcZTSmhAhGWGj4nXW9LbrofOhLSctNJ8JU-lCLJ-g6zC25bSBlLzzdmB8Wz6EdoWpi3nRf2B5D5nz0KRy3qYt2h12Uhy4PMHTn3pcvMxunqd348Xj7Xw6WYxtRWQ3psgVX3LJaoFarQQI6iQBDpqhhZqppayck4oStRRSaKI1EXmTAFU6O-LHxXzQXQVYm230G4ifJoA334MQ3wzEztsGjRToONcVXzJX1SiAyUpotIzTFdaVyFrng9Y2hvc-GzQbnyw2DbQY-mSorKmkRHyfvRhQG0NKEd3vaUrMLgmzS8IMSWT6cqBTpto3jGYd-ph_nf7FvwDHN4eF</recordid><startdate>20100101</startdate><enddate>20100101</enddate><creator>Vieira, A P</creator><creator>de Moura, E P</creator><creator>Gonçalves, L L</creator><general>Springer International Publishing</general><general>SpringerOpen</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope></search><sort><creationdate>20100101</creationdate><title>Fluctuation Analyses for Pattern Classification in Nondestructive Materials Inspection</title><author>Vieira, A P ; de Moura, E P ; Gonçalves, L L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c406t-1e383b36275e98d5a51f60a3a92eca728b64ff68108b5659099054060a1896873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Classification</topic><topic>Engineering</topic><topic>Fluctuation</topic><topic>Fractal analysis</topic><topic>Inspection</topic><topic>Microstructure</topic><topic>Quantum Information Technology</topic><topic>Review Article</topic><topic>Signal Processing in Advanced Nondestructive Materials Inspection</topic><topic>Signal,Image and Speech Processing</topic><topic>Signatures</topic><topic>Spintronics</topic><topic>Time series</topic><topic>Ultrasonic testing</topic><topic>Weld defects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vieira, A P</creatorcontrib><creatorcontrib>de Moura, E P</creatorcontrib><creatorcontrib>Gonçalves, L L</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>EURASIP journal on advances in signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vieira, A P</au><au>de Moura, E P</au><au>Gonçalves, L L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fluctuation Analyses for Pattern Classification in Nondestructive Materials Inspection</atitle><jtitle>EURASIP journal on advances in signal processing</jtitle><stitle>EURASIP J. Adv. Signal Process</stitle><date>2010-01-01</date><risdate>2010</risdate><volume>2010</volume><issue>1</issue><artnum>262869</artnum><issn>1687-6180</issn><issn>1687-6172</issn><eissn>1687-6180</eissn><abstract>We review recent work on the application of fluctuation analyses of time series for pattern classification in nondestructive materials inspection. These analyses are based on the evaluation of time-series fluctuations across time intervals of increasing size, and were originally introduced in the study of fractals. A number of examples indicate that this approach yields relevant features allowing the successful classification of patterns such as (i) microstructure signatures in cast irons, as probed by backscattered ultrasonic signals; (ii) welding defects in metals, as probed by TOFD ultrasonic signals; (iii) gear faults, based on vibration signals; (iv) weld-transfer modes, as probed by voltage and current time series; (v) microstructural composition in stainless steel, as probed by magnetic Barkhausen noise and magnetic flux signals.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1155/2010/262869</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1687-6180 |
ispartof | EURASIP journal on advances in signal processing, 2010-01, Vol.2010 (1), Article 262869 |
issn | 1687-6180 1687-6172 1687-6180 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_65ef33943b2f47e5a26459ec231de745 |
source | Publicly Available Content Database; Springer Nature - SpringerLink Journals - Fully Open Access |
subjects | Classification Engineering Fluctuation Fractal analysis Inspection Microstructure Quantum Information Technology Review Article Signal Processing in Advanced Nondestructive Materials Inspection Signal,Image and Speech Processing Signatures Spintronics Time series Ultrasonic testing Weld defects |
title | Fluctuation Analyses for Pattern Classification in Nondestructive Materials Inspection |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-30T19%3A13%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fluctuation%20Analyses%20for%20Pattern%20Classification%20in%20Nondestructive%20Materials%20Inspection&rft.jtitle=EURASIP%20journal%20on%20advances%20in%20signal%20processing&rft.au=Vieira,%20A%20P&rft.date=2010-01-01&rft.volume=2010&rft.issue=1&rft.artnum=262869&rft.issn=1687-6180&rft.eissn=1687-6180&rft_id=info:doi/10.1155/2010/262869&rft_dat=%3Cproquest_doaj_%3E1671610587%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c406t-1e383b36275e98d5a51f60a3a92eca728b64ff68108b5659099054060a1896873%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1671610587&rft_id=info:pmid/&rfr_iscdi=true |