{"id":"https://openalex.org/W2927404528","doi":"https://doi.org/10.1109/access.2019.2908015","title":"A Novel Broad Learning System Based Leakage Detection and Universal Localization Method for Pipeline Networks","display_name":"A Novel Broad Learning System Based Leakage Detection and Universal Localization Method for Pipeline Networks","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2927404528","doi":"https://doi.org/10.1109/access.2019.2908015","mag":"2927404528"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2908015","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908015","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08675918.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08675918.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102712561","display_name":"Ma Da-Zhong","orcid":"https://orcid.org/0000-0001-7293-8522"},"institutions":[{"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":true,"raw_author_name":"Dazhong Ma","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068755602","display_name":"Junda Wang","orcid":"https://orcid.org/0009-0005-9998-7275"},"institutions":[{"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":"Junda Wang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021659366","display_name":"Qiuye Sun","orcid":"https://orcid.org/0000-0001-8801-0884"},"institutions":[{"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":"Qiuye Sun","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039391669","display_name":"Xuguang Hu","orcid":"https://orcid.org/0000-0001-5762-2431"},"institutions":[{"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":"Xuguang Hu","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102712561"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.4565,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.91532068,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"42343","last_page":"42353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9840999841690063,"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/T11220","display_name":"Water Systems and Optimization","score":0.9800000190734863,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7575281858444214},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5766055583953857},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.4926500916481018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43020230531692505},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4295635223388672},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41186216473579407},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10765528678894043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575281858444214},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5766055583953857},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.4926500916481018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43020230531692505},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4295635223388672},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41186216473579407},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10765528678894043},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2908015","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908015","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08675918.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e460f4cec1e243838c0bae98e92ab9fe","is_oa":true,"landing_page_url":"https://doaj.org/article/e460f4cec1e243838c0bae98e92ab9fe","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 42343-42353 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2908015","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2908015","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08675918.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41999998688697815,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1924158496","display_name":null,"funder_award_id":"2017YFF0108800","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2036897366","display_name":null,"funder_award_id":"61627809","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2044537295","display_name":null,"funder_award_id":"Grant 61627809","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G466649759","display_name":null,"funder_award_id":"2017Y","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G474394021","display_name":null,"funder_award_id":"2017YFF0108800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8110708230","display_name":null,"funder_award_id":"61773109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8340078520","display_name":null,"funder_award_id":"2017YF","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2927404528.pdf","grobid_xml":"https://content.openalex.org/works/W2927404528.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1528621187","https://openalex.org/W1900165402","https://openalex.org/W2011342934","https://openalex.org/W2014301059","https://openalex.org/W2014306971","https://openalex.org/W2019809970","https://openalex.org/W2084072121","https://openalex.org/W2119112357","https://openalex.org/W2119404840","https://openalex.org/W2121257934","https://openalex.org/W2136922672","https://openalex.org/W2152195021","https://openalex.org/W2165186128","https://openalex.org/W2169528473","https://openalex.org/W2257979135","https://openalex.org/W2275167077","https://openalex.org/W2291949688","https://openalex.org/W2317637584","https://openalex.org/W2364684898","https://openalex.org/W2494054254","https://openalex.org/W2510719730","https://openalex.org/W2527937528","https://openalex.org/W2557898794","https://openalex.org/W2581082771","https://openalex.org/W2604319603","https://openalex.org/W2738226240","https://openalex.org/W2755546405","https://openalex.org/W2757285286","https://openalex.org/W2767035496","https://openalex.org/W2784833642","https://openalex.org/W2795058981","https://openalex.org/W2886910949","https://openalex.org/W2887131025","https://openalex.org/W2887576641","https://openalex.org/W2890706287","https://openalex.org/W2895874728","https://openalex.org/W6653537355","https://openalex.org/W6730355888","https://openalex.org/W6980005026"],"related_works":["https://openalex.org/W4380433113","https://openalex.org/W4386072068","https://openalex.org/W252339960","https://openalex.org/W2390529043","https://openalex.org/W2378320433","https://openalex.org/W2358343511","https://openalex.org/W2071821326","https://openalex.org/W2051877971","https://openalex.org/W1970117064","https://openalex.org/W1787170397"],"abstract_inverted_index":{"The":[0,135],"security":[1],"of":[2,26,147],"pipeline":[3,27,50,104,124,162,177],"systems":[4],"draws":[5],"attention":[6],"increasingly;":[7],"therefore,":[8],"a":[9,113],"novel":[10],"method":[11,118],"based":[12,36,108],"on":[13,37,109,173],"neural":[14],"network":[15,51,105,178],"and":[16,24,64,86,144,164,171],"graph":[17],"theory":[18],"is":[19,43,69,119,138],"proposed":[20,120],"for":[21,102,121],"the":[22,33,38,54,56,94,110,145,165],"detection":[23,34,111],"localization":[25,117],"networks":[28,158],"in":[29,61],"this":[30],"paper.":[31],"First,":[32],"algorithm":[35,76],"broad":[39],"learning":[40],"system":[41,166],"(BLS)":[42],"used":[44],"to":[45,78,98,140],"distinguish":[46],"abnormities":[47],"under":[48],"large-scale":[49,176],"environments.":[52],"During":[53],"process,":[55],"varied":[57],"BLS":[58,95,153],"models":[59],"result":[60],"indeterminate":[62],"performance":[63,101],"fast":[65],"ergodic":[66],"structure":[67],"search":[68,148],"executed":[70],"via":[71],"adaptive":[72],"mutation":[73],"particle":[74],"swarm":[75],"(APSO)":[77],"generate":[79],"an":[80,174],"appropriate":[81],"structure,":[82],"succinct":[83],"parameters,":[84],"speedability,":[85],"accuracy.":[87],"And":[88],"manual":[89],"features":[90],"are":[91],"implanted":[92],"into":[93,169],"feature":[96],"layer":[97],"targetedly":[99],"improve":[100],"complex":[103],"signals.":[106],"Second,":[107],"results,":[112],"universal":[114],"Dijkstra-based":[115],"applicable":[116],"diverse":[122],"topological":[123],"structures,":[125],"including":[126],"mesh-form":[127],"networks,":[128],"which":[129],"have":[130],"fewer":[131],"sensors":[132],"than":[133],"anchors.":[134],"synchronous":[136],"approximation":[137],"adopted":[139],"shun":[141],"local":[142],"minimum,":[143],"shrinkage":[146],"domain":[149],"economizes":[150],"time.":[151],"Revised":[152],"was":[154,167],"contrasted":[155],"with":[156],"several":[157],"trained":[159],"by":[160],"real":[161],"data":[163],"integrated":[168],"SCADA":[170],"applied":[172],"operational":[175],"successfully.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}