{"id":"https://openalex.org/W7125174904","doi":"https://doi.org/10.1109/jiot.2026.3656121","title":"A Sim2Real Defect Inversion Method for Real-World Energy Transportation Systems Based on Intra- and Inter-Domain Interactive Learning","display_name":"A Sim2Real Defect Inversion Method for Real-World Energy Transportation Systems Based on Intra- and Inter-Domain Interactive Learning","publication_year":2026,"publication_date":"2026-01-20","ids":{"openalex":"https://openalex.org/W7125174904","doi":"https://doi.org/10.1109/jiot.2026.3656121"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2026.3656121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3656121","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5100349000","display_name":"Linlin Wang","orcid":"https://orcid.org/0000-0002-6999-5056"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Wang","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092169928","display_name":"Haoran Zhang","orcid":"https://orcid.org/0000-0003-4981-7065"},"institutions":[{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaguang Zhang","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756","https://openalex.org/I4391767858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112990503","display_name":"Feng Liu","orcid":"https://orcid.org/0000-0001-9987-782X"},"institutions":[{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhai Liu","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756","https://openalex.org/I4391767858"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123537066","display_name":"Fengyuan Zuo","orcid":null},"institutions":[{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyuan Zuo","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756","https://openalex.org/I4391767858"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100349000"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18082327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"7","first_page":"13590","last_page":"13600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.24940000474452972,"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"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.24940000474452972,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.08569999784231186,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.0794999971985817,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5874000191688538},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.5593000054359436},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.48249998688697815},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42739999294281006},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.40630000829696655},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.3878999948501587},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3781999945640564},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.37439998984336853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7829999923706055},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5874000191688538},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.5593000054359436},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.48249998688697815},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42739999294281006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.415800005197525},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.40630000829696655},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3878999948501587},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.37439998984336853},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3433000147342682},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C31829261","wikidata":"https://www.wikidata.org/wiki/Q1929885","display_name":"Transportation theory","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29010000824928284},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27889999747276306},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2784999907016754},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.2524000108242035},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2026.3656121","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3656121","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.5172724723815918}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Defect":[0],"inversion":[1],"is":[2,47,75,90,101,123,153,159,173,201],"a":[3,48,156],"critical":[4],"quantitative":[5],"assessment":[6],"technique":[7],"to":[8,31,63,113,125,145,161,178,193],"evaluate":[9],"the":[10,52,70,80,115,163,198],"integrity":[11],"of":[12,142],"energy":[13,72,205],"transportation":[14,73,206],"systems.":[15],"In":[16],"practice,":[17],"non-stationary":[18],"states":[19],"and":[20,58,85,168,171,185,209],"frequent":[21],"situation":[22],"switches":[23],"in":[24,131,218],"real-world":[25,219],"industrial":[26,220],"processes":[27],"make":[28],"it":[29,172],"difficult":[30],"acquire":[32],"ideal":[33],"sensor":[34,143,166],"signals":[35,106,144,167],"with":[36,107,190],"precise":[37],"annotations,":[38],"there":[39],"by":[40],"compromising":[41],"accurate":[42],"defect":[43,95],"inversion.":[44,96],"Simulation":[45],"systems":[46,74],"viable":[49],"solution.":[50],"However,":[51],"dramatic":[53],"inter-domain":[54,86,121,147,180],"disparity":[55],"between":[56,165],"simulated":[57,105],"real":[59,71,108],"system":[60],"poses":[61],"challenges":[62],"existing":[64],"studies.":[65],"Moreover,":[66],"intra-domain":[67,151],"divergence":[68],"within":[69],"also":[76,136,174],"unexplored.":[77],"To":[78],"address":[79],"above":[81],"issues,":[82],"an":[83],"intra-":[84,186],"interactive":[87],"learning":[88],"method":[89,200],"proposed":[91,102,124,154,199],"for":[92],"simulation-to-real":[93],"(sim2real)":[94],"Specifically,":[97],"reality-aware":[98],"feature":[99,133],"stylization":[100],"which":[103,214],"diversifies":[104],"style":[109],"variants,":[110],"so":[111,182],"as":[112,176],"alleviate":[114],"domain":[116,187],"gap":[117],"initially.":[118],"Then,":[119],"bi-level":[120],"alignment":[122,152],"not":[126],"only":[127],"penalize":[128],"hard-to-align":[129],"samples":[130],"abstract":[132],"space,":[134],"but":[135],"innovatively":[137],"exploits":[138],"intrinsic":[139],"geometric":[140],"relations":[141],"guide":[146],"gaps.":[148],"Next,":[149],"physical-informed":[150],"where":[155],"similarity":[157],"matrix":[158],"constructed":[160],"pursue":[162],"consistency":[164],"physical":[169],"knowledge,":[170],"served":[175],"pseudo-labels":[177],"constrain":[179],"adaptation,":[181],"that":[183],"inter-":[184],"adaptation":[188],"interact":[189],"united":[191],"strength":[192],"enhance":[194],"information":[195],"exchange.":[196],"Finally,":[197],"systematically":[202],"validated":[203],"on":[204],"experimental":[207],"platform":[208],"competitive":[210],"results":[211],"are":[212],"obtained,":[213],"shows":[215],"its":[216],"promise":[217],"processes.":[221]},"counts_by_year":[],"updated_date":"2026-03-26T06:05:38.182114","created_date":"2026-01-22T00:00:00"}