{"id":"https://openalex.org/W4388280449","doi":"https://doi.org/10.1109/safeprocess58597.2023.10295757","title":"Online Fatigue Life Prediction and Crack Length Estimation Based on LSTM","display_name":"Online Fatigue Life Prediction and Crack Length Estimation Based on LSTM","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4388280449","doi":"https://doi.org/10.1109/safeprocess58597.2023.10295757"},"language":"en","primary_location":{"id":"doi:10.1109/safeprocess58597.2023.10295757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess58597.2023.10295757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","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/A5035249197","display_name":"Yifeng Zhu","orcid":"https://orcid.org/0009-0008-1189-3939"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yifeng Zhu","raw_affiliation_strings":["China Ship Scientific Research Center,Taihu Laboratory of Deepsea Technological Science,Wuxi,China","Taihu Laboratory of Deepsea Technological Science, China Ship Scientific Research Center, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"China Ship Scientific Research Center,Taihu Laboratory of Deepsea Technological Science,Wuxi,China","institution_ids":[]},{"raw_affiliation_string":"Taihu Laboratory of Deepsea Technological Science, China Ship Scientific Research Center, Wuxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068860723","display_name":"Jianzhao Zhang","orcid":"https://orcid.org/0000-0003-0277-7166"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhao Zhang","raw_affiliation_strings":["South China University of Technology,School of Automation Science and Engineering,Guangzhou,China","School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Automation Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645909","display_name":"Jiaxiang Luo","orcid":"https://orcid.org/0000-0001-8603-6132"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxiang Luo","raw_affiliation_strings":["South China University of Technology,School of Automation Science and Engineering,Guangzhou,China","School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Automation Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038192310","display_name":"Xinyan Guo","orcid":"https://orcid.org/0000-0001-7482-5441"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyan Guo","raw_affiliation_strings":["South China University of Technology,School of Civil and Transportation Engineering,Guangzhou,China","School of Civil and Transportation Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Civil and Transportation Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Civil and Transportation Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350062","display_name":"Ziyu Liu","orcid":"https://orcid.org/0000-0002-8043-8525"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Liu","raw_affiliation_strings":["South China University of Technology,School of Automation Science and Engineering,Guangzhou,China","School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Automation Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100666490","display_name":"Ruonan Zhang","orcid":"https://orcid.org/0000-0003-0030-6758"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruonan Zhang","raw_affiliation_strings":["China Ship Scientific Research Center,Taihu Laboratory of Deepsea Technological Science,Wuxi,China","Taihu Laboratory of Deepsea Technological Science, China Ship Scientific Research Center, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"China Ship Scientific Research Center,Taihu Laboratory of Deepsea Technological Science,Wuxi,China","institution_ids":[]},{"raw_affiliation_string":"Taihu Laboratory of Deepsea Technological Science, China Ship Scientific Research Center, Wuxi, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5035249197"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1728,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43394501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"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":0.9997000098228455,"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":0.9997000098228455,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9980999827384949,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/computer-science","display_name":"Computer science","score":0.5506948828697205},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.5331719517707825},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5146251916885376},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4482555091381073},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.41647422313690186},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.4048100411891937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34567561745643616},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2955145537853241},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2248649299144745},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20232558250427246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5506948828697205},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.5331719517707825},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5146251916885376},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4482555091381073},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.41647422313690186},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.4048100411891937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34567561745643616},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2955145537853241},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2248649299144745},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20232558250427246},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/safeprocess58597.2023.10295757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess58597.2023.10295757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.5199999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1617739328","https://openalex.org/W1976083895","https://openalex.org/W2017351364","https://openalex.org/W2064675550","https://openalex.org/W2524356231","https://openalex.org/W2763303954","https://openalex.org/W3131523205","https://openalex.org/W3153048243","https://openalex.org/W3156122116","https://openalex.org/W3174710087","https://openalex.org/W3189001320","https://openalex.org/W4205249048","https://openalex.org/W4221050758","https://openalex.org/W4255133955","https://openalex.org/W4283462548"],"related_works":["https://openalex.org/W42295635","https://openalex.org/W1973996291","https://openalex.org/W2330575325","https://openalex.org/W2163803519","https://openalex.org/W2497592525","https://openalex.org/W2365470997","https://openalex.org/W4360615906","https://openalex.org/W2385067697","https://openalex.org/W4214885488","https://openalex.org/W4387169607"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,48,55],"prediction":[4,15],"method":[5,31],"based":[6,46],"on":[7,47],"LSTM":[8],"model":[9,105],"is":[10,106],"proposed":[11,30],"for":[12],"the":[13,33,39,44,66,70,85,89,93,96,100,104,118,123,129],"online":[14,34],"problem":[16],"of":[17,43,103,112,128],"fatigue":[18,72,120],"life":[19,73,98,102,121],"and":[20,26,59,74,88,99,125],"crack":[21,24,75],"length":[22],"in":[23,122],"propagation":[25],"fracture":[27],"stage.":[28],"The":[29],"uses":[32],"collected":[35],"data":[36,83],"to":[37,64,117],"predict":[38],"health":[40,67],"indicator":[41,68],"(HI)":[42],"specimen":[45],"long":[49],"short-term":[50],"memory":[51],"(LSTM)":[52],"model;":[53],"Then":[54],"particle":[56],"filtering":[57],"algorithm":[58],"polynomial":[60],"fitting":[61],"are":[62],"used":[63],"convert":[65],"into":[69],"remaining":[71],"length.":[76],"Tests":[77],"were":[78],"performed":[79],"with":[80,108],"several":[81],"experimental":[82],"under":[84],"same":[86],"load,":[87],"results":[90],"showed":[91],"that":[92],"deviation":[94],"between":[95],"predicted":[97],"real":[101],"small,":[107],"an":[109],"error":[110],"value":[111],"less":[113],"than":[114],"5%":[115],"relative":[116],"total":[119],"middle":[124],"later":[126],"stages":[127],"prediction.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
