{"id":"https://openalex.org/W4417455283","doi":"https://doi.org/10.1049/icp.2025.3485","title":"A novel Kriging model-based stratified importance sampling method for estimating augmented failure probability","display_name":"A novel Kriging model-based stratified importance sampling method for estimating augmented failure probability","publication_year":2025,"publication_date":"2025-12-01","ids":{"openalex":"https://openalex.org/W4417455283","doi":"https://doi.org/10.1049/icp.2025.3485"},"language":"en","primary_location":{"id":"doi:10.1049/icp.2025.3485","doi":"https://doi.org/10.1049/icp.2025.3485","is_oa":false,"landing_page_url":"https://doi.org/10.1049/icp.2025.3485","pdf_url":null,"source":{"id":"https://openalex.org/S4404663355","display_name":"IET conference proceedings.","issn_l":"2732-4494","issn":["2732-4494"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Conference Proceedings","raw_type":"journal-article"},"volume":null,"type":"conference-paper","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":null,"display_name":"Yizhou Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhou Chen","raw_affiliation_strings":["State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment, School of Aeronautics, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment, School of Aeronautics, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, People's Republic of China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110002882","display_name":"Zhenzhou L\u00fc","orcid":"https://orcid.org/0000-0002-5263-5767","observed_orcids":["https://orcid.org/0000-0002-5263-5767","https://orcid.org/0000-0001-8759-0178"]},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhou Lu","raw_affiliation_strings":["State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment, School of Aeronautics, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment, School of Aeronautics, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, People's Republic of China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053609361","display_name":"Yifan Guo","orcid":"https://orcid.org/0009-0009-0284-8965","observed_orcids":["https://orcid.org/0009-0009-0284-8965"]},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Guo","raw_affiliation_strings":["State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment, School of Aeronautics, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment, School of Aeronautics, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, People's Republic of China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45251397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2025","issue":"35","first_page":"730","last_page":"737"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9589999914169312,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9589999914169312,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11046","display_name":"Geotechnical Engineering and Analysis","score":0.020600000396370888,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.002199999988079071,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/kriging-model","display_name":"Kriging model","score":0.8600000143051147},{"id":"https://openalex.org/keywords/limit-state-surface","display_name":"limit state surface","score":0.7239999771118164},{"id":"https://openalex.org/keywords/learning-function","display_name":"learning function","score":0.46700000762939453},{"id":"https://openalex.org/keywords/structural-reliability","display_name":"structural reliability","score":0.47699999809265137}],"concepts":[{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.7807999849319458},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.7055000066757202},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5812000036239624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5214999914169312},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.4830000102519989},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4372999966144562},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41179999709129333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40880000591278076},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3813999891281128},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3700000047683716},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.35269999504089355},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C167723999","wikidata":"https://www.wikidata.org/wiki/Q3773214","display_name":"Sampling distribution","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.3156999945640564},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.29829999804496765},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.271699994802475},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1049/icp.2025.3485","doi":"https://doi.org/10.1049/icp.2025.3485","is_oa":false,"landing_page_url":"https://doi.org/10.1049/icp.2025.3485","pdf_url":null,"source":{"id":"https://openalex.org/S4404663355","display_name":"IET conference proceedings.","issn_l":"2732-4494","issn":["2732-4494"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Conference Proceedings","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Due":[0],"to":[1,107,145],"the":[2,9,36,66,80,100,104,109,117,138,151,158,166],"absence":[3],"of":[4,29,41,82,103,112,119],"sufficient":[5],"or":[6],"reliable":[7],"data,":[8],"random":[10,18],"input":[11],"distribution":[12],"parameters":[13],"are":[14],"often":[15],"treated":[16],"as":[17,25],"variables.":[19],"Augmented":[20],"failure":[21],"probability":[22],"(AFP)":[23],"serves":[24],"an":[26,121],"effective":[27],"quantifier":[28],"safety":[30],"levels":[31],"in":[32,170],"such":[33],"cases.":[34],"However,":[35],"efficient":[37],"and":[38,90,116,157],"accurate":[39],"estimation":[40,81],"small":[42,83],"AFP":[43,84],"values":[44],"remains":[45],"a":[46,56,69,94,128],"considerable":[47],"challenge.":[48],"To":[49,86],"confront":[50],"this":[51,53,113],"challenge,":[52],"study":[54],"proposes":[55],"novel":[57],"Kriging":[58,123],"model-based":[59],"stratified":[60,95],"importance":[61,72],"sampling":[62,73,88],"method.":[63],"As":[64],"per":[65],"proposed":[67],"approach,":[68],"regular":[70],"mixed":[71],"density":[74],"function":[75],"(MIS-DF)":[76],"is":[77,97,125],"formulated":[78],"for":[79,99,135],"values.":[85],"enhance":[87],"efficiency":[89],"maintain":[91],"algorithm":[92],"robustness,":[93],"strategy":[96],"introduced":[98],"progressive":[101,114],"construction":[102,115],"MIS-DF.":[105],"Furthermore,":[106],"reduce":[108],"computational":[110],"consumption":[111],"extraction":[118],"samples,":[120],"economical":[122],"model":[124],"integrated":[126],"with":[127],"newly":[129],"designed":[130],"learning":[131],"function,":[132],"which":[133],"accounts":[134],"not":[136],"only":[137],"Euclidean":[139],"distance":[140],"from":[141],"candidate":[142,155],"sample":[143],"points":[144,156],"limit":[146],"state":[147],"surface,":[148],"but":[149],"also":[150],"dissimilarity":[152],"between":[153],"these":[154],"existing":[159],"training":[160],"points.":[161],"Two":[162],"numerical":[163],"examples":[164],"validate":[165],"method\u2019s":[167],"superior":[168],"performance":[169],"estimating":[171],"AFP.":[172]},"counts_by_year":[],"updated_date":"2026-09-27T08:07:27.782135","created_date":"2025-12-18T00:00:00"}
