{"id":"https://openalex.org/W3088929935","doi":"https://doi.org/10.1109/access.2020.3026096","title":"Analysis of Gas Leakage Early Warning System Based on Kalman Filter and Optimized BP Neural Network","display_name":"Analysis of Gas Leakage Early Warning System Based on Kalman Filter and Optimized BP Neural Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3088929935","doi":"https://doi.org/10.1109/access.2020.3026096","mag":"3088929935"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3026096","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3026096","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09204658.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8948470/09204658.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101823655","display_name":"Guoquan Liu","orcid":"https://orcid.org/0000-0001-5308-4496"},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoquan Liu","raw_affiliation_strings":["Jiangxi Engineering Research Center of Process and Equipment for New Energy, East China Institute of Technology, Nanchang, China","School of Mechanical and Electronic Engineering, East China University of Technology, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0001-5308-4496","affiliations":[{"raw_affiliation_string":"Jiangxi Engineering Research Center of Process and Equipment for New Energy, East China Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]},{"raw_affiliation_string":"School of Mechanical and Electronic Engineering, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023332197","display_name":"Zhichao Jiang","orcid":"https://orcid.org/0000-0002-8571-0217"},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Jiang","raw_affiliation_strings":["School of Mechanical and Electronic Engineering, East China University of Technology, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electronic Engineering, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341394","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0003-3713-1912"},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["School of Mechanical and Electronic Engineering, East China University of Technology, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0003-3713-1912","affiliations":[{"raw_affiliation_string":"School of Mechanical and Electronic Engineering, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210119674"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3754,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.61173782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"175180","last_page":"175193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14410","display_name":"Safety and Risk Management","score":0.9526000022888184,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6778115034103394},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6490322351455688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6363552808761597},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.59920734167099},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5948983430862427},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.580901026725769},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.5581144094467163},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.5251783132553101},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.4755668044090271},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3797125816345215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3081625998020172},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2819567322731018},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22207394242286682},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19320032000541687}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6778115034103394},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6490322351455688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6363552808761597},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.59920734167099},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5948983430862427},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.580901026725769},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.5581144094467163},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.5251783132553101},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.4755668044090271},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3797125816345215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3081625998020172},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2819567322731018},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22207394242286682},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19320032000541687},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3026096","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3026096","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09204658.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f59dd65c933a404a90fbe11e33a4f66d","is_oa":true,"landing_page_url":"https://doaj.org/article/f59dd65c933a404a90fbe11e33a4f66d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 8, Pp 175180-175193 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3026096","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3026096","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09204658.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3043975754","display_name":null,"funder_award_id":"JXNE2020-01","funder_id":"https://openalex.org/F4320326860","funder_display_name":"East China Institute of Technology"},{"id":"https://openalex.org/G4375395138","display_name":"\u57fa\u4e8e\u5e26\u7f06\u9065\u63a7\u6c34\u4e0b\u673a\u5668\u4eba-\u673a\u68b0\u624b\u7cfb\u7edf\u6c34\u4e0b\u81ea\u4e3b\u4f5c\u4e1a\u7684\u975e\u5b8c\u5168\u540c\u6001\u591a\u6a21\u578b\u5207\u6362\u63a7\u5236\u7814\u7a76","funder_award_id":"62063001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5576259519","display_name":null,"funder_award_id":"GJJ170484","funder_id":"https://openalex.org/F4320325626","funder_display_name":"Education Department of Jiangxi Province"},{"id":"https://openalex.org/G657569305","display_name":null,"funder_award_id":"2020-KF-22-10","funder_id":"https://openalex.org/F4320326907","funder_display_name":"State Key Laboratory of Robotics"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325626","display_name":"Education Department of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320326860","display_name":"East China Institute of Technology","ror":"https://ror.org/027385r44"},{"id":"https://openalex.org/F4320326907","display_name":"State Key Laboratory of Robotics","ror":null},{"id":"https://openalex.org/F4320327473","display_name":"Department of Science and Technology of Liaoning Province","ror":"https://ror.org/02f09cx53"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3088929935.pdf","grobid_xml":"https://content.openalex.org/works/W3088929935.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1551069033","https://openalex.org/W1624492588","https://openalex.org/W1972656492","https://openalex.org/W1985204936","https://openalex.org/W2004066246","https://openalex.org/W2030339667","https://openalex.org/W2044094718","https://openalex.org/W2046910155","https://openalex.org/W2050995257","https://openalex.org/W2071215043","https://openalex.org/W2146703888","https://openalex.org/W2242409604","https://openalex.org/W2285812398","https://openalex.org/W2415757004","https://openalex.org/W2734807169","https://openalex.org/W2936131980","https://openalex.org/W2952562136","https://openalex.org/W2978007135","https://openalex.org/W3008235510","https://openalex.org/W3027786297","https://openalex.org/W6681804901","https://openalex.org/W6690738083","https://openalex.org/W6695842124"],"related_works":["https://openalex.org/W4382982879","https://openalex.org/W4387072315","https://openalex.org/W1518564963","https://openalex.org/W4311044000","https://openalex.org/W2180861079","https://openalex.org/W2728376045","https://openalex.org/W2350552870","https://openalex.org/W3005025283","https://openalex.org/W2659933339","https://openalex.org/W2742825757"],"abstract_inverted_index":{"This":[0],"paper":[1,117,144],"proposes":[2],"a":[3,54],"method":[4,98,199],"for":[5],"gas":[6,26,48,62,79,107,206],"leakage":[7,27,80],"early":[8,81],"warning":[9,82],"system":[10],"based":[11,84],"on":[12,85],"Kalman":[13,38],"filter":[14,39,43],"and":[15,29,127,138,157,175,178,189,213,220],"back-propagation":[16],"(BP)":[17],"neural":[18,69,170],"network":[19,70,171],"to":[20,42,92,134],"address":[21],"the":[22,44,47,59,67,78,86,94,97,103,119,136,141,179,182,186,190,203],"issue":[23],"of":[24,31,35,61,96,106,140,168,181,205],"inaccurate":[25],"detection":[28],"incapability":[30],"predicting":[32],"concentration":[33,49,63,207],"change":[34,60],"gas.":[36],"First,":[37],"is":[40,51,72,89,108,176,195],"adopted":[41],"noise":[45],"from":[46],"that":[50,71],"measured":[52],"by":[53,74,100,146],"sensor.":[55],"Then,":[56],"predictions":[57],"about":[58],"are":[64,118],"made":[65],"using":[66],"BP":[68,169],"optimized":[73],"genetic":[75],"algorithm.":[76],"Next,":[77],"system,":[83],"proposed":[87,99,145,198],"method,":[88],"designed.":[90],"Last,":[91],"verify":[93],"effectiveness":[95,137],"simulation,":[101],"methane,":[102],"main":[104],"component":[105],"chosen":[109],"as":[110,209],"an":[111],"example.":[112],"Also":[113],"introduced":[114],"in":[115,217],"this":[116,143],"determinant":[120],"coefficient,":[121],"mean":[122],"absolute":[123],"error,":[124],"correlation":[125],"coefficient":[126],"root-mean-square":[128],"error-the":[129],"four":[130],"evaluation":[131],"indicators":[132],"methods":[133],"demonstrate":[135],"feasibility":[139],"algorithm":[142],"comparing":[147],"with":[148],"Support":[149],"Vector":[150],"Machine":[151],"(SVM),":[152],"Long":[153],"Short-term":[154],"Memory":[155],"(LSTM)":[156],"general":[158],"Back":[159],"Propagation":[160],"Neural":[161],"Network":[162],"(BPNN).":[163],"The":[164,197],"best":[165],"validation":[166],"performance":[167],"through":[172],"simulation":[173],"experiments":[174],"0.013518,":[177],"probability":[180],"relative":[183],"error":[184,221],"between":[185],"predicted":[187],"value":[188,192],"actual":[191],"within":[193],"10%":[194],"0.7692.":[196],"can":[200],"effectively":[201],"improve":[202],"accuracy":[204],"prediction":[208],"comparison":[210],"results":[211],"show,":[212],"it":[214],"has":[215],"advantage":[216],"fitting":[218],"degree":[219],"fluctuations.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
