{"id":"https://openalex.org/W4317382670","doi":"https://doi.org/10.1109/rivf55975.2022.10013817","title":"Material Fracture Life Prediction Under High Creep Conditions Using Decision Trees and Rule-based Techniques","display_name":"Material Fracture Life Prediction Under High Creep Conditions Using Decision Trees and Rule-based Techniques","publication_year":2022,"publication_date":"2022-12-20","ids":{"openalex":"https://openalex.org/W4317382670","doi":"https://doi.org/10.1109/rivf55975.2022.10013817"},"language":"en","primary_location":{"id":"doi:10.1109/rivf55975.2022.10013817","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/rivf55975.2022.10013817","pdf_url":null,"source":{"id":"https://openalex.org/S4363608274","display_name":"2022 RIVF International Conference on Computing and Communication Technologies (RIVF)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 RIVF International Conference on Computing and Communication Technologies (RIVF)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076065131","display_name":"Roberto Fern\u00e1ndez Mart\u00ednez","orcid":"https://orcid.org/0000-0002-9436-6577"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Roberto Fernandez Martinez","raw_affiliation_strings":["College of Engineering in Bilbao, University of the Basque Country, UPV/EHU,Bilbao,Spain","College of Engineering in Bilbao, University of the Basque Country, UPV/EHU, Bilbao, Spain"],"raw_orcid":"https://orcid.org/0000-0002-9436-6577","affiliations":[{"raw_affiliation_string":"College of Engineering in Bilbao, University of the Basque Country, UPV/EHU,Bilbao,Spain","institution_ids":["https://openalex.org/I169108374"]},{"raw_affiliation_string":"College of Engineering in Bilbao, University of the Basque Country, UPV/EHU, Bilbao, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047922267","display_name":"Pello Jimbert","orcid":"https://orcid.org/0000-0001-8652-0506"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pello Jimbert","raw_affiliation_strings":["College of Engineering in Bilbao, University of the Basque Country, UPV/EHU,Bilbao,Spain","College of Engineering in Bilbao, University of the Basque Country, UPV/EHU, Bilbao, Spain"],"raw_orcid":"https://orcid.org/0000-0001-8652-0506","affiliations":[{"raw_affiliation_string":"College of Engineering in Bilbao, University of the Basque Country, UPV/EHU,Bilbao,Spain","institution_ids":["https://openalex.org/I169108374"]},{"raw_affiliation_string":"College of Engineering in Bilbao, University of the Basque Country, UPV/EHU, Bilbao, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111206212","display_name":"Lorena M. Callejo","orcid":"https://orcid.org/0000-0003-3293-5153"},"institutions":[{"id":"https://openalex.org/I4210113430","display_name":"Tecnalia","ror":"https://ror.org/02fv8hj62","country_code":"ES","type":"other","lineage":["https://openalex.org/I4210113430"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Lorena M. Callejo","raw_affiliation_strings":["Foundry &#x0026; Steelmaking Area, Fundacion TECNALIA Research &#x0026; Innovation,Derio,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Foundry &#x0026; Steelmaking Area, Fundacion TECNALIA Research &#x0026; Innovation,Derio,Spain","institution_ids":["https://openalex.org/I4210113430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052604916","display_name":"J. I. Barbero","orcid":"https://orcid.org/0000-0002-2459-6131"},"institutions":[{"id":"https://openalex.org/I4210113430","display_name":"Tecnalia","ror":"https://ror.org/02fv8hj62","country_code":"ES","type":"other","lineage":["https://openalex.org/I4210113430"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Ignacio Barbero","raw_affiliation_strings":["Foundry &#x0026; Steelmaking Area, Fundacion TECNALIA Research &#x0026; Innovation,Derio,Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Foundry &#x0026; Steelmaking Area, Fundacion TECNALIA Research &#x0026; Innovation,Derio,Spain","institution_ids":["https://openalex.org/I4210113430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076065131"],"corresponding_institution_ids":["https://openalex.org/I169108374"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53321523,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10396","display_name":"Fatigue and fracture mechanics","score":0.9786999821662903,"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/T10396","display_name":"Fatigue and fracture mechanics","score":0.9786999821662903,"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/T10840","display_name":"High Temperature Alloys and Creep","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T14076","display_name":"Material Properties and Failure Mechanisms","score":0.9520999789237976,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6883289217948914},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6798706650733948},{"id":"https://openalex.org/keywords/creep","display_name":"Creep","score":0.5980533957481384},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5702410936355591},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5127933621406555},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47257792949676514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43295544385910034},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.41860127449035645},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3357708156108856},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.15557846426963806},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14685696363449097},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13136857748031616}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6883289217948914},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6798706650733948},{"id":"https://openalex.org/C149912024","wikidata":"https://www.wikidata.org/wiki/Q462188","display_name":"Creep","level":2,"score":0.5980533957481384},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5702410936355591},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5127933621406555},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47257792949676514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43295544385910034},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.41860127449035645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3357708156108856},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.15557846426963806},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14685696363449097},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13136857748031616},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/rivf55975.2022.10013817","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/rivf55975.2022.10013817","pdf_url":null,"source":{"id":"https://openalex.org/S4363608274","display_name":"2022 RIVF International Conference on Computing and Communication Technologies (RIVF)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 RIVF International Conference on Computing and Communication Technologies (RIVF)","raw_type":"proceedings-article"},{"id":"pmh:oai:dsp.tecnalia.com:11556/2611","is_oa":false,"landing_page_url":"https://doi.org/10.1109/RIVF55975.2022.10013817","pdf_url":null,"source":{"id":"https://openalex.org/S4306402037","display_name":"TECNALIA Publications (Fundaci\u00f3n TECNALIA Research & Innovation)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210113430","host_organization_name":"Tecnalia","host_organization_lineage":["https://openalex.org/I4210113430"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"conference output"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.5799999833106995,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W429766147","https://openalex.org/W1452200767","https://openalex.org/W1975100403","https://openalex.org/W1975934219","https://openalex.org/W1976235224","https://openalex.org/W1981381864","https://openalex.org/W1986009674","https://openalex.org/W2008932920","https://openalex.org/W2015324215","https://openalex.org/W2019178832","https://openalex.org/W2021396396","https://openalex.org/W2024206111","https://openalex.org/W2035467092","https://openalex.org/W2054231676","https://openalex.org/W2087506824","https://openalex.org/W2130564500","https://openalex.org/W2145607771","https://openalex.org/W2190083980","https://openalex.org/W2230585277","https://openalex.org/W2330820318","https://openalex.org/W2514515390","https://openalex.org/W2771286181","https://openalex.org/W2781902394","https://openalex.org/W2795803276","https://openalex.org/W2806841887","https://openalex.org/W2807173930","https://openalex.org/W2911964244","https://openalex.org/W2981661026","https://openalex.org/W3037729706","https://openalex.org/W3124533140","https://openalex.org/W4212883601","https://openalex.org/W6634091482","https://openalex.org/W6789280862","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W1581108530","https://openalex.org/W2900762017","https://openalex.org/W2809062887","https://openalex.org/W4378877021","https://openalex.org/W2743427670","https://openalex.org/W635360828","https://openalex.org/W2268186159","https://openalex.org/W2331429694","https://openalex.org/W169897692","https://openalex.org/W2056510062"],"abstract_inverted_index":{"Several":[0],"elements":[1],"in":[2,10,41,180,195],"power":[3],"plants":[4],"suffer":[5],"from":[6],"high":[7,19,33,71],"creep":[8,59,67],"conditions":[9,60],"its":[11],"normal":[12],"service":[13],"life.":[14],"This":[15],"fact":[16],"makes":[17],"that":[18],"efficiency":[20],"materials":[21],"are":[22,38,69,116],"used":[23],"to":[24,44,76,84,118,129,141,170,202],"manufacture":[25],"critical":[26,51],"components":[27],"of":[28,50,81,92,95,136,146,152,174],"the":[29,46,55,79,96,120,123,137,147,172,175,208,211,219],"system.":[30],"Among":[31],"them,":[32],"chrome":[34],"content":[35],"alloy":[36],"steels":[37],"widely":[39],"applied":[40,117,169,179],"these":[42,77,131],"cases":[43],"optimize":[45],"final":[47],"mechanical":[48,56,93],"properties":[49,57,94],"elements.":[52],"Although":[53],"knowing":[54],"at":[58],"is":[61,98],"not":[62],"an":[63],"easy":[64],"task,":[65],"since":[66],"tests":[68],"a":[70,86,90,99,133,143,156,203],"time":[72,121],"consuming":[73],"process.":[74],"Due":[75],"problems,":[78],"use":[80],"regression":[82,107],"models":[83],"get":[85,142],"better":[87,144],"understanding":[88],"and":[89,113,164,187],"prediction":[91],"material":[97,124],"really":[100],"helpful":[101],"technique.":[102],"In":[103,127],"this":[104,181],"work,":[105],"several":[106,150],"techniques,":[108],"based":[109,159,213],"on":[110,160,214],"decision":[111,114,185,188],"trees":[112,186],"rules,":[115],"predict":[119],"when":[122],"fracture":[125],"happens.":[126],"order":[128],"build":[130],"models,":[132],"representative":[134],"dataset":[135],"problem":[138,148],"was":[139,168],"studied":[140,209],"knowledge":[145],"using":[149],"techniques":[151,190],"multivariate":[153],"analysis.":[154],"Then,":[155],"validation":[157,162,166],"methodology":[158,182],"cross":[161],"training":[163],"simple":[165],"testing":[167],"verify":[171],"generalization":[173],"models.":[176],"The":[177],"algorithms":[178],"show":[183],"how":[184],"rules":[189],"can":[191],"achieve":[192],"accurate":[193,221],"results":[194],"their":[196],"prediction,":[197],"obtaining":[198],"low":[199],"RMSE":[200],"close":[201],"7%.":[204],"And":[205],"finally,":[206],"among":[207],"algorithms,":[210],"one":[212],"rule-based":[215],"cubist":[216],"technique":[217],"performed":[218],"most":[220],"results.":[222]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
