{"id":"https://openalex.org/W4402436737","doi":"https://doi.org/10.1109/tim.2024.3457968","title":"Efficient Convolutional Neural Networks With PWK Compression for Gas Pipelines Leak Detection","display_name":"Efficient Convolutional Neural Networks With PWK Compression for Gas Pipelines Leak Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402436737","doi":"https://doi.org/10.1109/tim.2024.3457968"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3457968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3457968","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/A5102993200","display_name":"Di Meng","orcid":"https://orcid.org/0009-0001-7250-684X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Meng","raw_affiliation_strings":["School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi, China","School of Mechanical Engineering, Northwestern Polytechnical University, 127 Youyi Xilu, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0001-7250-684X","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Mechanical Engineering, Northwestern Polytechnical University, 127 Youyi Xilu, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090614974","display_name":"Fangli Ning","orcid":"https://orcid.org/0000-0002-2907-3225"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangli Ning","raw_affiliation_strings":["School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi, China","School of Mechanical Engineering, Northwestern Polytechnical University, 127 Youyi Xilu, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-2907-3225","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Mechanical Engineering, Northwestern Polytechnical University, 127 Youyi Xilu, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054161116","display_name":"Mingyang Hao","orcid":"https://orcid.org/0009-0004-8604-3200"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Hao","raw_affiliation_strings":["School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi, China","School of Mechanical Engineering, Northwestern Polytechnical University, 127 Youyi Xilu, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0004-8604-3200","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Mechanical Engineering, Northwestern Polytechnical University, 127 Youyi Xilu, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093793905","display_name":"Penghao Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Penghao Xie","raw_affiliation_strings":["School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi, China","School of Mechanical Engineering, Northwestern Polytechnical University, 127 Youyi Xilu, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0004-5806-5381","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Mechanical Engineering, Northwestern Polytechnical University, 127 Youyi Xilu, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101582327","display_name":"Juan Wei","orcid":"https://orcid.org/0000-0001-5034-0837"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Wei","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi’an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0001-5034-0837","affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi’an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9007,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84143822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9869999885559082,"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/T11220","display_name":"Water Systems and Optimization","score":0.9869999885559082,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.946399986743927,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.7649096250534058},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6923048496246338},{"id":"https://openalex.org/keywords/leak-detection","display_name":"Leak detection","score":0.6837907433509827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.514612078666687},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4969368278980255},{"id":"https://openalex.org/keywords/leak","display_name":"Leak","score":0.4924803674221039},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4604855477809906},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.426372230052948},{"id":"https://openalex.org/keywords/petroleum-engineering","display_name":"Petroleum engineering","score":0.3903473913669586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2768176794052124},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.26320695877075195},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23133787512779236},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.215998113155365},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.1245540976524353},{"id":"https://openalex.org/keywords/environmental-engineering","display_name":"Environmental engineering","score":0.09043651819229126},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.08668571710586548}],"concepts":[{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.7649096250534058},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6923048496246338},{"id":"https://openalex.org/C2987355568","wikidata":"https://www.wikidata.org/wiki/Q4420957","display_name":"Leak detection","level":3,"score":0.6837907433509827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.514612078666687},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4969368278980255},{"id":"https://openalex.org/C2780378346","wikidata":"https://www.wikidata.org/wiki/Q1349983","display_name":"Leak","level":2,"score":0.4924803674221039},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4604855477809906},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.426372230052948},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.3903473913669586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2768176794052124},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.26320695877075195},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23133787512779236},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.215998113155365},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.1245540976524353},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.09043651819229126},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.08668571710586548}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3457968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3457968","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/7","score":0.6200000047683716,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2875227348","display_name":null,"funder_award_id":"52475132","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4389023445","display_name":null,"funder_award_id":"23ZDCYJSGG0006-2023","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G486124564","display_name":null,"funder_award_id":"2023YFB3406500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8071658920","display_name":null,"funder_award_id":"20200015053001","funder_id":"https://openalex.org/F4320322857","funder_display_name":"Aeronautical Science Foundation of China"},{"id":"https://openalex.org/G8267808279","display_name":null,"funder_award_id":"52075441","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"},{"id":"https://openalex.org/F4320322857","display_name":"Aeronautical Science Foundation of China","ror":"https://ror.org/02wq41p38"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2023445387","https://openalex.org/W2080515758","https://openalex.org/W2322925303","https://openalex.org/W2461315544","https://openalex.org/W2888812645","https://openalex.org/W2891262353","https://openalex.org/W2936774411","https://openalex.org/W2951125819","https://openalex.org/W2953987170","https://openalex.org/W2962851801","https://openalex.org/W2997768846","https://openalex.org/W3083602012","https://openalex.org/W3112626755","https://openalex.org/W3136164813","https://openalex.org/W3151414449","https://openalex.org/W3161758233","https://openalex.org/W3176278398","https://openalex.org/W3196438592","https://openalex.org/W3196496149","https://openalex.org/W4296473482","https://openalex.org/W4312214279","https://openalex.org/W4313047887","https://openalex.org/W4319873770","https://openalex.org/W4385453242","https://openalex.org/W4386083031","https://openalex.org/W4388181004","https://openalex.org/W4389903251","https://openalex.org/W6674330103","https://openalex.org/W6677580257","https://openalex.org/W6726275242","https://openalex.org/W6745148473","https://openalex.org/W6760069825","https://openalex.org/W6763381322","https://openalex.org/W6771249245","https://openalex.org/W6771852177"],"related_works":["https://openalex.org/W2357422790","https://openalex.org/W4213010826","https://openalex.org/W1968766800","https://openalex.org/W1553563528","https://openalex.org/W2089419128","https://openalex.org/W2271340062","https://openalex.org/W2356864307","https://openalex.org/W4389695218","https://openalex.org/W2371267147","https://openalex.org/W2152530389"],"abstract_inverted_index":{"The":[0,57],"convolutional":[1],"neural":[2],"network":[3,73,105,114,123],"(CNN)":[4],"has":[5,171,184],"achieved":[6],"good":[7],"performance":[8,140,173],"for":[9,154,198],"gas":[10,155,199],"pipeline":[11,156,200],"leak":[12,157],"detection.":[13,158],"However,":[14],"the":[15,68,71,83,89,95,103,107,112,163,194],"high":[16],"computing":[17],"cost":[18],"hinders":[19],"its":[20],"application":[21],"in":[22,168,202],"embedded":[23],"devices":[24],"with":[25,53,124],"limited":[26],"hardware":[27],"performance.":[28],"To":[29],"address":[30],"this":[31,169],"limitation,":[32],"a":[33,45,77,121],"model":[34],"compression":[35,180],"method":[36],"called":[37],"PWK":[38,143],"is":[39,74],"proposed,":[40],"consisting":[41],"of":[42,62],"two":[43],"parts:":[44],"pruning-optimizing":[46,58,164],"iterative":[47,59,165],"strategy":[48,60,166],"and":[49,64,192],"weight":[50,131,136],"sharing":[51],"combined":[52],"knowledge":[54],"distillation":[55,117],"(KD).":[56],"consists":[61],"pruning":[63,69,82],"training":[65,96],"phases.":[66],"In":[67,94],"phase,":[70,97],"compact":[72,113],"trimmed":[75],"using":[76],"mask":[78,108],"derived":[79],"from":[80,102],"virtually":[81],"original":[84,90,104],"network,":[85],"aiming":[86],"to":[87,111,119,138,149],"obtain":[88],"network\u2019s":[91],"essential":[92],"structure.":[93],"important":[98],"features":[99],"(IFs)":[100],"extracted":[101],"by":[106],"are":[109],"transferred":[110],"through":[115],"feature":[116],"(FD)":[118],"form":[120],"pruned":[122],"low":[125,203],"redundancy.":[126],"KD":[127],"was":[128],"introduced":[129],"into":[130],"sharing,":[132],"which":[133],"can":[134],"reduce":[135],"storage":[137],"alleviate":[139],"degradation.":[141],"Finally,":[142],"compresses":[144],"spectral":[145],"enhancement":[146],"CNN":[147,152],"(SE-CNN)":[148],"an":[150],"efficient":[151],"(SE-CNN-Lite)":[153],"Experimental":[159],"results":[160],"show":[161],"that":[162],"proposed":[167],"article":[170],"higher":[172],"than":[174,187],"other":[175,188],"state-of-the-art":[176,189],"methods":[177],"under":[178],"similar":[179],"ratios.":[181],"Our":[182],"SE-CNN-Lite":[183],"lower":[185],"redundancy":[186],"lightweight":[190],"networks":[191],"achieves":[193],"optimal":[195],"detection":[196],"accuracy":[197],"leaks":[201],"signal-to-noise":[204],"ratio":[205],"environments.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}