{"id":"https://openalex.org/W3199110137","doi":"https://doi.org/10.1109/tim.2021.3092518","title":"Pipeline Safety Early Warning by Multifeature-Fusion CNN and LightGBM Analysis of Signals From Distributed Optical Fiber Sensors","display_name":"Pipeline Safety Early Warning by Multifeature-Fusion CNN and LightGBM Analysis of Signals From Distributed Optical Fiber Sensors","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3199110137","doi":"https://doi.org/10.1109/tim.2021.3092518","mag":"3199110137"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3092518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3092518","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/A5019084435","display_name":"Yiyuan Yang","orcid":"https://orcid.org/0000-0002-5320-095X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiyuan Yang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399663","display_name":"Haifeng Zhang","orcid":"https://orcid.org/0000-0001-9403-3548"},"institutions":[{"id":"https://openalex.org/I4210121989","display_name":"Pearl River Hydraulic Research Institute","ror":"https://ror.org/036g8gs02","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210121989"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Zhang","raw_affiliation_strings":["Research Institute of Tsinghua University, Pearl River Delta, Guangzhou 510530, China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Tsinghua University, Pearl River Delta, Guangzhou 510530, China","institution_ids":["https://openalex.org/I4210121989"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100421652","display_name":"Yi Li","orcid":"https://orcid.org/0000-0002-8855-4520"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["International Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China. (e-mail: liyi@sz.tsinghua.edu.cn)"],"affiliations":[{"raw_affiliation_string":"International Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China. (e-mail: liyi@sz.tsinghua.edu.cn)","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I4210114105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019084435"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.1251,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.87561584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9889000058174133,"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":0.7537425756454468},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6100896596908569},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5779297351837158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5453407764434814},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5001919269561768},{"id":"https://openalex.org/keywords/optical-time-domain-reflectometer","display_name":"Optical time-domain reflectometer","score":0.4888109862804413},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.47420957684516907},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4716593027114868},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4460771083831787},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44354769587516785},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4364529252052307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3646432161331177},{"id":"https://openalex.org/keywords/optical-fiber","display_name":"Optical fiber","score":0.338406503200531},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3246256709098816},{"id":"https://openalex.org/keywords/fiber-optic-sensor","display_name":"Fiber optic sensor","score":0.2720298171043396},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17509779334068298}],"concepts":[{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.7537425756454468},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6100896596908569},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5779297351837158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5453407764434814},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5001919269561768},{"id":"https://openalex.org/C187327482","wikidata":"https://www.wikidata.org/wiki/Q580729","display_name":"Optical time-domain reflectometer","level":5,"score":0.4888109862804413},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.47420957684516907},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4716593027114868},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4460771083831787},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44354769587516785},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4364529252052307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3646432161331177},{"id":"https://openalex.org/C194232370","wikidata":"https://www.wikidata.org/wiki/Q162","display_name":"Optical fiber","level":2,"score":0.338406503200531},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3246256709098816},{"id":"https://openalex.org/C21651689","wikidata":"https://www.wikidata.org/wiki/Q1397427","display_name":"Fiber optic sensor","level":3,"score":0.2720298171043396},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17509779334068298},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C113102252","wikidata":"https://www.wikidata.org/wiki/Q5591869","display_name":"Graded-index fiber","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3092518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3092518","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":[{"display_name":"Affordable and clean energy","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G3123357888","display_name":null,"funder_award_id":"GDGS-2020-JS-24","funder_id":"https://openalex.org/F4320321570","funder_display_name":"China National Petroleum Corporation"}],"funders":[{"id":"https://openalex.org/F4320321570","display_name":"China National Petroleum Corporation","ror":"https://ror.org/05269d038"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1996794844","https://openalex.org/W2039930961","https://openalex.org/W2095705004","https://openalex.org/W2126321128","https://openalex.org/W2158698691","https://openalex.org/W2165880761","https://openalex.org/W2171520731","https://openalex.org/W2176818128","https://openalex.org/W2276736557","https://openalex.org/W2318264551","https://openalex.org/W2318935380","https://openalex.org/W2523246573","https://openalex.org/W2593382986","https://openalex.org/W2609937040","https://openalex.org/W2746759066","https://openalex.org/W2754863095","https://openalex.org/W2768348081","https://openalex.org/W2793992635","https://openalex.org/W2794752859","https://openalex.org/W2895786783","https://openalex.org/W2900589926","https://openalex.org/W2901526063","https://openalex.org/W2901860749","https://openalex.org/W2907408771","https://openalex.org/W2909420579","https://openalex.org/W2909696721","https://openalex.org/W2911738103","https://openalex.org/W2914033219","https://openalex.org/W2916850996","https://openalex.org/W2953212672","https://openalex.org/W2963399222","https://openalex.org/W2964041315","https://openalex.org/W2964121744","https://openalex.org/W2966209250","https://openalex.org/W2979700798","https://openalex.org/W2986258400","https://openalex.org/W2990748369","https://openalex.org/W3048706557","https://openalex.org/W3080280923","https://openalex.org/W3114964331","https://openalex.org/W3137798495","https://openalex.org/W3161340479","https://openalex.org/W3176290483","https://openalex.org/W3176364128","https://openalex.org/W4297779039","https://openalex.org/W6631190155","https://openalex.org/W6674330103","https://openalex.org/W6678620876","https://openalex.org/W6685960955","https://openalex.org/W6727249380","https://openalex.org/W6737027497","https://openalex.org/W6745609711","https://openalex.org/W6755310813","https://openalex.org/W6782315550","https://openalex.org/W6795148587","https://openalex.org/W6797914802"],"related_works":["https://openalex.org/W2602506882","https://openalex.org/W3013413160","https://openalex.org/W2279398222","https://openalex.org/W4299822940","https://openalex.org/W2973380637","https://openalex.org/W3156786002","https://openalex.org/W3213960077","https://openalex.org/W2977314777","https://openalex.org/W4366492315","https://openalex.org/W2356727484"],"abstract_inverted_index":{"Energy":[0],"pipelines":[1,117],"are":[2,20],"the":[3,76,119,155,185],"backbones":[4],"of":[5,32,78,110,118,139,145],"global":[6],"energy":[7,23,168,177,181],"systems.":[8],"Monitoring":[9],"their":[10],"safety":[11,77,179],"and":[12,15,36,80,91,130,142,148,157,171,180,199],"automatically":[13],"identifying":[14],"locating":[16],"third-party":[17,132],"damage":[18,133],"events":[19,134],"crucial":[21],"to":[22,48,74,106,176,191],"supply.":[24],"However,":[25],"most":[26],"traditional":[27],"methods":[28],"lack":[29],"in-depth":[30],"consideration":[31],"distributed":[33],"fiber":[34],"signals":[35],"have":[37],"not":[38],"been":[39,163],"tested":[40],"on":[41,67,96],"real-world":[42,114],"long-distance":[43,53,167],"pipelines,":[44],"making":[45],"it":[46],"difficult":[47],"deploy":[49],"them":[50],"in":[51,135,154],"operating":[52],"pipelines.":[54,82],"In":[55],"this":[56],"study,":[57],"we":[58,84],"utilize":[59],"a":[60,86,107],"novel":[61,98],"real-time":[62,136],"machine":[63],"learning":[64],"method":[65,103,126],"based":[66,95],"phase-sensitive":[68],"optical":[69],"time":[70,156],"domain":[71],"reflectometer":[72],"technology":[73],"monitor":[75],"oil":[79],"gas":[81],"Specifically,":[83],"build":[85],"multi-feature-fusion":[87],"convolutional":[88],"neural":[89],"network":[90],"LightGBM":[92],"fusion":[93],"model":[94],"two":[97],"complementary":[99],"spatiotemporal":[100],"features.":[101],"The":[102,124],"was":[104],"applied":[105],"large":[108],"amount":[109],"data":[111],"collected":[112],"from":[113],"oil-gas":[115],"transportation":[116],"China":[120],"National":[121],"Petroleum":[122],"Corporation.":[123],"proposed":[125,186],"could":[127,149,188],"accurately":[128],"locate":[129],"identify":[131],"under":[137],"conditions":[138],"strong":[140],"noise":[141],"various":[143],"types":[144],"system":[146],"hardware,":[147],"effectively":[150],"handle":[151],"signal":[152],"drift":[153],"space":[158],"dimensions.":[159],"Our":[160],"methodology":[161],"has":[162],"deployed":[164],"at":[165],"real":[166],"pipeline":[169,178],"sites":[170],"our":[172],"work":[173],"will":[174],"contribute":[175],"supply":[182],"security.":[183],"Furthermore,":[184],"solution":[187],"be":[189],"generalized":[190],"other":[192],"fields,":[193],"such":[194],"as":[195],"industrial":[196],"inspection,":[197],"measurement,":[198],"monitoring.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
