{"id":"https://openalex.org/W4285038858","doi":"https://doi.org/10.1109/tim.2022.3189642","title":"Intrusion Detection of Foreign Objects in Overhead Power System for Preventive Maintenance in High-Speed Railway Catenary Inspection","display_name":"Intrusion Detection of Foreign Objects in Overhead Power System for Preventive Maintenance in High-Speed Railway Catenary Inspection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285038858","doi":"https://doi.org/10.1109/tim.2022.3189642"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3189642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3189642","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/A5010595253","display_name":"Shangdong Zheng","orcid":"https://orcid.org/0000-0002-7444-3459"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangdong Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7444-3459","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031361250","display_name":"Zebin Wu","orcid":"https://orcid.org/0000-0002-7162-0202"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zebin Wu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7162-0202","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649896","display_name":"Yang Xu","orcid":"https://orcid.org/0000-0003-3514-9705"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3514-9705","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070343691","display_name":"Zhihui Wei","orcid":"https://orcid.org/0000-0002-4841-6051"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Wei","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4841-6051","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":2.7719,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.90002558,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9994000196456909,"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":0.9994000196456909,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9735999703407288,"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":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7553189992904663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6437276601791382},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.625617504119873},{"id":"https://openalex.org/keywords/catenary","display_name":"Catenary","score":0.5543065071105957},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5520572662353516},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5106392502784729},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4869164228439331},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48665815591812134},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.4557371735572815},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43956810235977173},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4239724278450012},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40219512581825256},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3557196259498596},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18557778000831604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7553189992904663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6437276601791382},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.625617504119873},{"id":"https://openalex.org/C29279314","wikidata":"https://www.wikidata.org/wiki/Q214561","display_name":"Catenary","level":2,"score":0.5543065071105957},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5520572662353516},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5106392502784729},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4869164228439331},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48665815591812134},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.4557371735572815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43956810235977173},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4239724278450012},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40219512581825256},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3557196259498596},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18557778000831604},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3189642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3189642","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G1009658786","display_name":null,"funder_award_id":"61976117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3059471314","display_name":null,"funder_award_id":"BK20191409","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G4266622271","display_name":null,"funder_award_id":"30921011209","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4586324220","display_name":null,"funder_award_id":"30919011402","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4772862756","display_name":null,"funder_award_id":"19KJA360001","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5495545777","display_name":null,"funder_award_id":"62071233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5617332474","display_name":null,"funder_award_id":"30919011103","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6529097563","display_name":null,"funder_award_id":"JSGP202204","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6756378969","display_name":null,"funder_award_id":"BK20180018","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8149237285","display_name":"\u57fa\u4e8e\u5149\u8c31\u53d8\u5316\u89e3\u6df7\u7684\u9ad8\u5149\u8c31\u56fe\u50cf\u8d85\u5206\u8fa8\u5f20\u91cf\u5efa\u6a21\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8620067024","display_name":null,"funder_award_id":"30917015104","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8931906816","display_name":null,"funder_award_id":"BK20211570","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2024116139","https://openalex.org/W2031489346","https://openalex.org/W2085770564","https://openalex.org/W2117539524","https://openalex.org/W2157464496","https://openalex.org/W2174794239","https://openalex.org/W2194775991","https://openalex.org/W2550512190","https://openalex.org/W2552900565","https://openalex.org/W2570343428","https://openalex.org/W2601564443","https://openalex.org/W2789305678","https://openalex.org/W2798405286","https://openalex.org/W2894675256","https://openalex.org/W2899280016","https://openalex.org/W2903011781","https://openalex.org/W2963351448","https://openalex.org/W2964086649","https://openalex.org/W2964286567","https://openalex.org/W2967662390","https://openalex.org/W2973088667","https://openalex.org/W2982770724","https://openalex.org/W2983827899","https://openalex.org/W2990578161","https://openalex.org/W2990744826","https://openalex.org/W3014486047","https://openalex.org/W3034467781","https://openalex.org/W3039379476","https://openalex.org/W3096609285","https://openalex.org/W3121945886","https://openalex.org/W3157835398","https://openalex.org/W3170630188","https://openalex.org/W3210279979","https://openalex.org/W4205336063","https://openalex.org/W6744960915","https://openalex.org/W6750227808","https://openalex.org/W6777046832","https://openalex.org/W6786708909"],"related_works":["https://openalex.org/W2527106474","https://openalex.org/W2387267510","https://openalex.org/W4213239480","https://openalex.org/W2355659466","https://openalex.org/W3009196399","https://openalex.org/W4390571018","https://openalex.org/W4385468390","https://openalex.org/W2367488591","https://openalex.org/W2057160698","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Foreign":[0],"object":[1,33,163],"intrusion":[2],"detection":[3,164],"in":[4,14,53,69,149,180,184],"overhead":[5],"power":[6],"systems":[7],"(OPSs)":[8],"is":[9,47,60,83,109,156],"critical":[10],"during":[11,117],"preventive":[12],"maintenance":[13],"catenary":[15],"inspection.":[16],"However,":[17],"the":[18,29,64,73,94,114,120,135,142,172,176],"OPS":[19,70,169],"images":[20],"characteristics,":[21],"including":[22],"appearance":[23],"degradation":[24],"and":[25],"noisy":[26],"representations,":[27],"increase":[28],"difficulty":[30],"of":[31,66,97,175],"foreign":[32,51,67,98,182],"detection.":[34],"In":[35,72],"this":[36],"article,":[37],"a":[38,56,76,101],"sparse":[39],"cross":[40],"attention":[41],"(SCA)":[42],"based":[43,104,162],"transformer":[44,127],"detector":[45],"(SCATD)":[46],"developed":[48],"for":[49,62],"detecting":[50,181],"objects":[52,68],"OPSs.":[54,185],"Specifically,":[55],"two-stage":[57],"refinement":[58],"architecture":[59],"proposed":[61,84,177],"extracting":[63],"features":[65],"images.":[71],"first":[74],"stage,":[75],"spatiotemporal":[77,88],"enhanced":[78],"(STE)":[79],"convolutional":[80],"neural":[81],"network":[82,122],"to":[85,92,111,129,140],"leverage":[86],"feature-level":[87],"coherence":[89],"across":[90],"frames":[91],"emphasize":[93],"spatial":[95,102],"responses":[96],"objects.":[99],"Then,":[100],"memory":[103],"feature":[105,115],"aggregation":[106],"(SMFA)":[107],"module":[108],"constructed":[110],"iteratively":[112],"update":[113],"affinities":[116],"training.":[118],"Moreover,":[119],"SCA":[121],"sparsely":[123],"builds":[124],"different":[125],"weak":[126,131],"detectors":[128],"produce":[130],"predictive":[132,136,144],"results.":[133],"All":[134],"results":[137],"are":[138],"fused":[139],"achieve":[141],"better":[143],"performance":[145],"via":[146],"voting":[147],"schemes":[148],"an":[150],"adaptive":[151],"way.":[152],"Finally,":[153],"our":[154],"SCATD":[155,178],"compared":[157],"with":[158],"state-of-the-art":[159],"deep":[160],"learning":[161],"algorithms.":[165],"Experiments":[166],"on":[167],"real":[168],"dataset":[170],"demonstrate":[171],"high":[173],"effectiveness":[174],"scheme":[179],"instances":[183]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}