{"id":"https://openalex.org/W4392207710","doi":"https://doi.org/10.1109/tim.2024.3370801","title":"Remaining Useful Life Prediction Method Based on the Spatiotemporal Graph and GCN Nested Parallel Route Model","display_name":"Remaining Useful Life Prediction Method Based on the Spatiotemporal Graph and GCN Nested Parallel Route Model","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392207710","doi":"https://doi.org/10.1109/tim.2024.3370801"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3370801","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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5037890950","display_name":"Liuyang Song","orcid":"https://orcid.org/0000-0003-4297-1668"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liuyang Song","raw_affiliation_strings":["College of Mechanical and Electrical Engineering and the State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing, China","College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering and the State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103122448","display_name":"Ye Jin","orcid":"https://orcid.org/0009-0000-4682-4361"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Jin","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061347451","display_name":"Tianjiao Lin","orcid":"https://orcid.org/0000-0003-2918-0642"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianjiao Lin","raw_affiliation_strings":["College of Mechanical and Electrical Engineering and Beijing Key Laboratory of Health Monitoring and Self-Recovery for High-End Mechanical Equipment, Beijing University of Chemical Technology, Beijing, China","College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering and Beijing Key Laboratory of Health Monitoring and Self-Recovery for High-End Mechanical Equipment, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113240678","display_name":"Shengkai Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengkai Zhao","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111136669","display_name":"Zhicheng Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118977","display_name":"Shanghai Tunnel Engineering Rail Transit Design & Research Institute","ror":"https://ror.org/02zznv955","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118977"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Wei","raw_affiliation_strings":["Chongqing Rail Transit (Group) Company Ltd., Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Rail Transit (Group) Company Ltd., Chongqing, China","institution_ids":["https://openalex.org/I4210118977"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779575","display_name":"Huaqing Wang","orcid":"https://orcid.org/0000-0001-5333-0829"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaqing Wang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering and the State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing, China","College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering and the State Key Laboratory of High-End Compressor and System Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.911,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.999953,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9971,"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"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9971,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9927,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9489,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6012737},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46385857},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.46276397},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43189633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34744996},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34211957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32655805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22229546},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.152771},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3370801","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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.73,"display_name":"Zero hunger"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"52375076"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"52075030"},{"funder":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China","award_id":"2022YFB3303603"}],"datasets":[],"versions":[],"referenced_works_count":32,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W2043779128","https://openalex.org/W2097117768","https://openalex.org/W2591055632","https://openalex.org/W2771736529","https://openalex.org/W2802866110","https://openalex.org/W2904460913","https://openalex.org/W2910660149","https://openalex.org/W2932010661","https://openalex.org/W2974401122","https://openalex.org/W2984413472","https://openalex.org/W2986374062","https://openalex.org/W2989638106","https://openalex.org/W2995082892","https://openalex.org/W3014146531","https://openalex.org/W3112051552","https://openalex.org/W3120907553","https://openalex.org/W3160539508","https://openalex.org/W3170305376","https://openalex.org/W4205353493","https://openalex.org/W4205567159","https://openalex.org/W4205830141","https://openalex.org/W4211206835","https://openalex.org/W4213310304","https://openalex.org/W4285207637","https://openalex.org/W4293004936","https://openalex.org/W4302774545","https://openalex.org/W4306291403","https://openalex.org/W4307290295","https://openalex.org/W4312895349","https://openalex.org/W4380032370","https://openalex.org/W809430598"],"related_works":["https://openalex.org/W4385627933","https://openalex.org/W4310605282","https://openalex.org/W2806270048","https://openalex.org/W2532801570","https://openalex.org/W2480127678","https://openalex.org/W2187401768","https://openalex.org/W2181743346","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2051487156"],"abstract_inverted_index":{"In":[0,99,124],"the":[1,33,62,66,100,116,125,158,162,165,169,178,196,225,229],"past":[2],"few":[3],"years,":[4],"deep":[5],"learning":[6],"techniques":[7],"for":[8,77,94,231],"predicting":[9],"remaining":[10],"useful":[11],"life":[12],"(RUL)":[13],"have":[14,46],"shown":[15],"remarkable":[16],"advancements,":[17],"but":[18],"model":[19,74,163],"prediction":[20,58,233],"accuracy":[21,234],"and":[22,65,141,149,164,188,215],"generalization":[23,159],"to":[24,29,90,114,137,156,212],"different":[25,97],"data":[26,43,95],"still":[27],"need":[28],"be":[30],"improved.":[31],"Moreover,":[32],"complex":[34],"interactions":[35],"among":[36],"high-dimensional":[37,122,173],"variables":[38],"within":[39],"multidimensional":[40,82],"time":[41,143],"series":[42],"(MTSD)":[44],"can":[45],"an":[47],"impact":[48],"on":[49,61,218],"predictive":[50],"outcomes.":[51],"To":[52],"address":[53],"these":[54,219],"challenges,":[55],"a":[56,200],"RUL":[57],"approach":[59],"based":[60],"spatiotemporal":[63,85],"graph":[64,67,87,105],"convolutional":[68,106],"network":[69,107,134],"nested":[70],"parallel":[71,127],"route":[72],"(GCN-PR)":[73],"is":[75,88,135],"proposed":[76,179,197,226],"high-end":[78],"equipment":[79],"components.":[80],"The":[81,147,175],"feature":[83,92,117,170],"correlation":[84],"(MFCST)":[86],"constructed":[89],"implement":[91],"extraction":[93],"in":[96,203,235],"formats.":[98],"model,":[101],"one":[102],"pathway":[103],"utilizes":[104],"embedded":[108],"long":[109,130],"short-term":[110,131],"memory":[111,132],"(GELSTM)":[112],"networks":[113],"acquire":[115],"structure":[118,171],"spatial":[119,148,166],"pattern":[120],"of":[121,145,161,168,172,177],"variables.":[123,174],"other":[126,193],"route,":[128],"stacked":[129],"(ST-LSTM)":[133],"employed":[136],"comprehensively":[138],"explore":[139],"local":[140],"global":[142],"patterns":[144,151],"MTSD.":[146],"temporal":[150],"are":[152],"then":[153],"strategically":[154],"weighted":[155],"enhance":[157],"ability":[160],"perception":[167],"effectiveness":[176],"method":[180,198,227],"was":[181],"tested":[182],"using":[183],"datasets":[184],"from":[185],"engines,":[186],"bearings":[187],"pantographs.":[189],"When":[190],"benchmarked":[191],"against":[192],"mainstream":[194],"techniques,":[195],"achieved":[199],"notable":[201],"improvement":[202],"root":[204],"mean":[205],"square":[206],"error":[207],"(RMSE)":[208],"reduction,":[209],"reaching":[210],"up":[211],"25.94%,":[213],"34.50%,":[214],"56.04%":[216],"respectively":[217],"datasets.":[220],"These":[221],"results":[222],"demonstrate":[223],"that":[224],"has":[228],"potential":[230],"enhancing":[232],"diverse":[236],"practical":[237],"settings.":[238]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4392207710","counts_by_year":[{"year":2024,"cited_by_count":9}],"updated_date":"2024-12-12T14:45:19.743534","created_date":"2024-02-28"}