{"id":"https://openalex.org/W4392650289","doi":"https://doi.org/10.1007/s10845-024-02326-1","title":"Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography","display_name":"Synthetic data generation using finite element method to pre-train an image segmentation model for defect detection using infrared thermography","publication_year":2024,"publication_date":"2024-03-11","ids":{"openalex":"https://openalex.org/W4392650289","doi":"https://doi.org/10.1007/s10845-024-02326-1"},"language":"en","primary_location":{"id":"doi:10.1007/s10845-024-02326-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-024-02326-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-024-02326-1.pdf","source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10845-024-02326-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056451424","display_name":"Kaushal Arun Pareek","orcid":"https://orcid.org/0000-0003-2334-9021"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]},{"id":"https://openalex.org/I4210091599","display_name":"Berliner Nanotest und Design","ror":"https://ror.org/00ckx8y08","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210091599"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Kaushal Arun Pareek","raw_affiliation_strings":["Berliner Nanotest and Design GmbH, Volmerstrasse 9B, Berlin, 12489, Germany","Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Chair Materials and Reliability of Microsystems, Chemnitz, 09107, Germany"],"affiliations":[{"raw_affiliation_string":"Berliner Nanotest and Design GmbH, Volmerstrasse 9B, Berlin, 12489, Germany","institution_ids":["https://openalex.org/I4210091599"]},{"raw_affiliation_string":"Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Chair Materials and Reliability of Microsystems, Chemnitz, 09107, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113965718","display_name":"Daniel May","orcid":"https://orcid.org/0009-0004-8471-8251"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]},{"id":"https://openalex.org/I4210091599","display_name":"Berliner Nanotest und Design","ror":"https://ror.org/00ckx8y08","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210091599"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel May","raw_affiliation_strings":["Berliner Nanotest and Design GmbH, Volmerstrasse 9B, Berlin, 12489, Germany","Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Chair Materials and Reliability of Microsystems, Chemnitz, 09107, Germany"],"affiliations":[{"raw_affiliation_string":"Berliner Nanotest and Design GmbH, Volmerstrasse 9B, Berlin, 12489, Germany","institution_ids":["https://openalex.org/I4210091599"]},{"raw_affiliation_string":"Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Chair Materials and Reliability of Microsystems, Chemnitz, 09107, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013669671","display_name":"Peter Meszmer","orcid":"https://orcid.org/0000-0003-1638-8508"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Meszmer","raw_affiliation_strings":["Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Chair Materials and Reliability of Microsystems, Chemnitz, 09107, Germany"],"affiliations":[{"raw_affiliation_string":"Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Chair Materials and Reliability of Microsystems, Chemnitz, 09107, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112760109","display_name":"Mohamad Abo Ras","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091599","display_name":"Berliner Nanotest und Design","ror":"https://ror.org/00ckx8y08","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210091599"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mohamad Abo Ras","raw_affiliation_strings":["Berliner Nanotest and Design GmbH, Volmerstrasse 9B, Berlin, 12489, Germany"],"affiliations":[{"raw_affiliation_string":"Berliner Nanotest and Design GmbH, Volmerstrasse 9B, Berlin, 12489, Germany","institution_ids":["https://openalex.org/I4210091599"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052364259","display_name":"Bernhard Wunderle","orcid":"https://orcid.org/0000-0001-9675-4365"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Wunderle","raw_affiliation_strings":["Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Chair Materials and Reliability of Microsystems, Chemnitz, 09107, Germany"],"affiliations":[{"raw_affiliation_string":"Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Chair Materials and Reliability of Microsystems, Chemnitz, 09107, Germany","institution_ids":["https://openalex.org/I2610724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056451424"],"corresponding_institution_ids":["https://openalex.org/I2610724","https://openalex.org/I4210091599"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":4.4201,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.95285173,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"36","issue":"3","first_page":"1879","last_page":"1905"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thermography","display_name":"Thermography","score":0.9380558133125305},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5703320503234863},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.5362915396690369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5360506176948547},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5005526542663574},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.49676448106765747},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47233548760414124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36817383766174316},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3544904589653015},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.34286779165267944},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33110666275024414},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.15531057119369507},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12107935547828674},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08516231179237366}],"concepts":[{"id":"https://openalex.org/C2779222261","wikidata":"https://www.wikidata.org/wiki/Q624587","display_name":"Thermography","level":3,"score":0.9380558133125305},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5703320503234863},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.5362915396690369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5360506176948547},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5005526542663574},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.49676448106765747},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47233548760414124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36817383766174316},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3544904589653015},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.34286779165267944},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33110666275024414},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.15531057119369507},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12107935547828674},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08516231179237366},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10845-024-02326-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-024-02326-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-024-02326-1.pdf","source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},{"id":"pmh:oai:econstor.eu:10419/319240","is_oa":true,"landing_page_url":"https://hdl.handle.net/10419/319240","pdf_url":"https://www.econstor.eu/bitstream/10419/319240/1/10845_2024_Article_2326.pdf","source":{"id":"https://openalex.org/S4306401696","display_name":"Econstor (Econstor)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"doc-type:article"},{"id":"pmh:oai:RePEc:spr:joinma:v:36:y:2025:i:3:d:10.1007_s10845-024-02326-1","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10845-024-02326-1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10845-024-02326-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10845-024-02326-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10845-024-02326-1.pdf","source":{"id":"https://openalex.org/S161464388","display_name":"Journal of Intelligent Manufacturing","issn_l":"0956-5515","issn":["0956-5515","1572-8145"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Manufacturing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392650289.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W85986948","https://openalex.org/W195868816","https://openalex.org/W1901129140","https://openalex.org/W1971200508","https://openalex.org/W1977012613","https://openalex.org/W1977523676","https://openalex.org/W1982104027","https://openalex.org/W1987458554","https://openalex.org/W1987574712","https://openalex.org/W1990143976","https://openalex.org/W1997770109","https://openalex.org/W2000523966","https://openalex.org/W2027778738","https://openalex.org/W2083399560","https://openalex.org/W2089528765","https://openalex.org/W2091675212","https://openalex.org/W2117539524","https://openalex.org/W2151553160","https://openalex.org/W2165758075","https://openalex.org/W2194775991","https://openalex.org/W2298335408","https://openalex.org/W2315064846","https://openalex.org/W2321310861","https://openalex.org/W2499316477","https://openalex.org/W2564011837","https://openalex.org/W2606239077","https://openalex.org/W2888924008","https://openalex.org/W2897121656","https://openalex.org/W2963226141","https://openalex.org/W2973842119","https://openalex.org/W3019703315","https://openalex.org/W3022701396","https://openalex.org/W3035965352","https://openalex.org/W3041010388","https://openalex.org/W3089524077","https://openalex.org/W3099878876","https://openalex.org/W3135700689","https://openalex.org/W4210968171","https://openalex.org/W4214710011","https://openalex.org/W4224262262","https://openalex.org/W4243492416","https://openalex.org/W4245671988","https://openalex.org/W4255320586","https://openalex.org/W4307109265","https://openalex.org/W4313655127","https://openalex.org/W4321789740","https://openalex.org/W6661642015","https://openalex.org/W6793417345","https://openalex.org/W6931421589"],"related_works":["https://openalex.org/W2224543647","https://openalex.org/W4310007303","https://openalex.org/W2141980482","https://openalex.org/W2900544575","https://openalex.org/W2513461979","https://openalex.org/W2354340019","https://openalex.org/W2891762927","https://openalex.org/W2946143309","https://openalex.org/W4380319153","https://openalex.org/W1984559626"],"abstract_inverted_index":{"Abstract":[0],"The":[1,72,96,123],"vision":[2],"of":[3,15,29,35,61,84,98,107,160,166,171,177],"a":[4,49,168],"deep":[5],"learning-empowered":[6],"non-destructive":[7,73],"evaluation":[8],"technique":[9,74],"aligns":[10],"perfectly":[11],"with":[12],"the":[13,27,36,53,59,66,108,111,134,144,154,164,174,178,188,195],"goal":[14],"zero-defect":[16],"manufacturing,":[17],"enabling":[18],"manufacturers":[19],"to":[20,39,153],"detect":[21],"and":[22,110,120,194],"repair":[23],"defects":[24],"actively.":[25],"However,":[26],"dearth":[28],"data":[30,54,100,136],"in":[31,56],"manufacturing":[32,57],"is":[33,77,163],"one":[34,186],"biggest":[37],"obstacles":[38],"realizing":[40],"an":[41,198],"intelligent":[42],"defect":[43],"detection":[44],"system.":[45],"This":[46],"work":[47],"presents":[48],"framework":[50],"for":[51],"bridging":[52],"gap":[55],"using":[58,65,90],"potential":[60],"synthetic":[62,85,99,121,131,149,161],"datasets":[63,132,150,162],"generated":[64,89],"finite":[67],"element":[68],"method-based":[69],"digital":[70],"twin.":[71],"under":[75],"consideration":[76],"pulse":[78],"infrared":[79,200],"thermography.":[80],"A":[81],"large":[82,169],"number":[83],"thermographic":[86],"measurements":[87],"were":[88],"2D":[91],"axisymmetric":[92],"transient":[93],"thermal":[94],"simulations.":[95],"representativeness":[97],"was":[101,115,180,192,197],"thoroughly":[102],"investigated":[103],"at":[104],"various":[105],"steps":[106],"framework,":[109],"image":[112],"segmentation":[113,145],"model":[114,146,179],"trained":[116],"separately":[117],"on":[118,140,148,182],"experimental":[119,135,142,155,190],"datasets.":[122],"study":[124],"results":[125],"reveal":[126],"that":[127],"when":[128],"carefully":[129],"rendered,":[130],"represent":[133],"well.":[137],"When":[138],"evaluated":[139],"real-world":[141],"samples,":[143],"pre-trained":[147],"generalizes":[151],"well":[152],"samples.":[156],"Furthermore,":[157],"another":[158],"advantage":[159],"ease":[165],"labelling":[167],"amount":[170],"data.":[172],"Finally,":[173],"robustness":[175],"assessment":[176],"done":[181],"two":[183],"new":[184],"datasets:":[185],"where":[187],"complete":[189],"setup":[191],"changed,":[193],"other":[196],"open-source":[199],"thermography":[201],"dataset":[202]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
