{"id":"https://openalex.org/W4385976056","doi":"https://doi.org/10.1109/tim.2023.3306533","title":"Classification-Based Framework for Remaining Useful Life Prediction With Limited Images and Unequal Time Intervals","display_name":"Classification-Based Framework for Remaining Useful Life Prediction With Limited Images and Unequal Time Intervals","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385976056","doi":"https://doi.org/10.1109/tim.2023.3306533"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3306533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3306533","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5100671241","display_name":"Xiaoyan Zhu","orcid":"https://orcid.org/0000-0002-1574-8762"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyan Zhu","raw_affiliation_strings":["School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026077746","display_name":"Chenxin Lu","orcid":"https://orcid.org/0000-0002-8882-1203"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxin Lu","raw_affiliation_strings":["School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021534337","display_name":"Ping Zhang","orcid":"https://orcid.org/0000-0002-1933-9886"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Zhang","raw_affiliation_strings":["School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100671241"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.208,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57675244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9980999827384949,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9821000099182129,"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"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5985856056213379},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.569314181804657},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5511606335639954},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.544035017490387},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4970689117908478},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4806896150112152},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47166597843170166},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.44937068223953247},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44665923714637756},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.41457152366638184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3923691213130951},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29628485441207886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2222047746181488},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15668606758117676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5985856056213379},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.569314181804657},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5511606335639954},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.544035017490387},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4970689117908478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4806896150112152},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47166597843170166},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44937068223953247},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44665923714637756},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.41457152366638184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3923691213130951},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29628485441207886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2222047746181488},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15668606758117676},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3306533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3306533","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G538420062","display_name":null,"funder_award_id":"71971206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6660785775","display_name":null,"funder_award_id":"72271226","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":30,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1581589161","https://openalex.org/W1594031697","https://openalex.org/W1594380269","https://openalex.org/W2070332210","https://openalex.org/W2101926813","https://openalex.org/W2122111042","https://openalex.org/W2133665775","https://openalex.org/W2768975186","https://openalex.org/W2884585870","https://openalex.org/W2910760806","https://openalex.org/W2963459241","https://openalex.org/W2989678208","https://openalex.org/W3001279689","https://openalex.org/W3020895169","https://openalex.org/W3118703835","https://openalex.org/W3138340468","https://openalex.org/W3158264953","https://openalex.org/W3163997895","https://openalex.org/W4230212260","https://openalex.org/W4239510810","https://openalex.org/W4281874603","https://openalex.org/W4313000451","https://openalex.org/W4321380685","https://openalex.org/W4364322755","https://openalex.org/W6628877408","https://openalex.org/W6634878844","https://openalex.org/W6677480971","https://openalex.org/W6745829810","https://openalex.org/W6772383348"],"related_works":["https://openalex.org/W2626808643","https://openalex.org/W2004064826","https://openalex.org/W3103727510","https://openalex.org/W2622688551","https://openalex.org/W2119012848","https://openalex.org/W1990205660","https://openalex.org/W1550175370","https://openalex.org/W2005234362","https://openalex.org/W2162970382","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Time":[0],"series":[1],"of":[2,11,26,42,68,72,98,114,121,153],"image":[3,109,140],"data":[4],"on":[5,131,137,146],"the":[6,87,96,101,108,112,118,128,132,151,154],"surfaces":[7],"or":[8,44],"interior":[9],"structures":[10],"units":[12,122],"can":[13],"be":[14],"used":[15,23],"for":[16,61],"RUL":[17,63,102,129],"prediction.":[18,103],"However,":[19],"few":[20],"studies":[21,30],"have":[22,31],"this":[24],"type":[25],"imaging,":[27],"and":[28,94,126,142],"those":[29],"not":[32],"dealt":[33],"with":[34],"situations":[35],"in":[36],"which":[37],"only":[38],"a":[39,65,124,138,143,147],"limited":[40,66],"number":[41,67],"images,":[43],"images":[45,99],"taken":[46],"at":[47],"unequal":[48],"time":[49],"intervals,":[50],"are":[51,75,83],"available.":[52],"This":[53],"paper":[54],"proposes":[55],"an":[56],"image-driven":[57],"classification-based":[58],"framework":[59,106],"(IDCBF)":[60],"predicting":[62],"using":[64,123],"images.":[69],"Multiple":[70],"methods":[71],"numerical":[73],"interpolations":[74],"applied":[76],"to":[77,86,100],"approximate":[78],"expected":[79],"degradation":[80],"paths":[81],"that":[82],"unknown,":[84],"contributing":[85],"IDCBF\u2019s":[88],"flexibility.":[89],"The":[90,104],"proposed":[91,155],"approach":[92],"applies":[93],"extends":[95,111],"classification":[97,133],"IDCBF":[105],"augments":[107],"streams,":[110],"trajectories":[113],"in-field":[115],"units,":[116],"judges":[117],"working-failure":[119],"states":[120],"classifier,":[125],"infers":[127],"based":[130],"results.":[134],"Numerical":[135],"experiments":[136],"simulated":[139],"dataset":[141,149],"case":[144],"study":[145],"real":[148],"demonstrate":[150],"effectiveness":[152],"methodology.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
