{"id":"https://openalex.org/W2004900304","doi":"https://doi.org/10.1109/icnc.2010.5583012","title":"Condition prediction of flue gas turbine based on Echo State Network","display_name":"Condition prediction of flue gas turbine based on Echo State Network","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2004900304","doi":"https://doi.org/10.1109/icnc.2010.5583012","mag":"2004900304"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2010.5583012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5583012","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"2010 Sixth International Conference on Natural Computation","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","raw_type":"proceedings-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/A5101499300","display_name":"Xiaoli Xu","orcid":"https://orcid.org/0000-0002-7503-1237"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao-li Xu","raw_affiliation_strings":["Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science and Technology University, Beijing, China","School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681186","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0002-6768-3630"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000808868","display_name":"Shaohong Wang","orcid":"https://orcid.org/0000-0001-5421-2971"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shao-hong Wang","raw_affiliation_strings":["Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science and Technology University, Beijing, China","School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Measurement & Control Technology, Ministry of Education, Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101499300"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I78675632"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.19386464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1089","last_page":"1092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9995999932289124,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9995999932289124,"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/T10320","display_name":"Neural Networks and Applications","score":0.9879000186920166,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/echo-state-network","display_name":"Echo state network","score":0.9243969321250916},{"id":"https://openalex.org/keywords/flue-gas","display_name":"Flue gas","score":0.7264543771743774},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.6842308044433594},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6807492971420288},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.6079527735710144},{"id":"https://openalex.org/keywords/gas-turbines","display_name":"Gas turbines","score":0.5544829368591309},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5174206495285034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5069572925567627},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.4624381959438324},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.4529976546764374},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.4244469404220581},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4210449457168579},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.41993504762649536},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.404803603887558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39202016592025757},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3403530716896057},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.32101479172706604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2701984643936157},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1562199890613556},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.11993297934532166},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08100128173828125},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08085569739341736},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07783153653144836}],"concepts":[{"id":"https://openalex.org/C172025690","wikidata":"https://www.wikidata.org/wiki/Q5332763","display_name":"Echo state network","level":4,"score":0.9243969321250916},{"id":"https://openalex.org/C167206829","wikidata":"https://www.wikidata.org/wiki/Q2556360","display_name":"Flue gas","level":2,"score":0.7264543771743774},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.6842308044433594},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6807492971420288},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.6079527735710144},{"id":"https://openalex.org/C2987684023","wikidata":"https://www.wikidata.org/wiki/Q193470","display_name":"Gas turbines","level":2,"score":0.5544829368591309},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5174206495285034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5069572925567627},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.4624381959438324},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.4529976546764374},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.4244469404220581},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4210449457168579},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.41993504762649536},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.404803603887558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39202016592025757},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3403530716896057},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32101479172706604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2701984643936157},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1562199890613556},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.11993297934532166},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08100128173828125},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08085569739341736},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07783153653144836},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2010.5583012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5583012","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"2010 Sixth International Conference on Natural Computation","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1887736925","https://openalex.org/W1985123443","https://openalex.org/W2014065015","https://openalex.org/W2062721728","https://openalex.org/W2094704186","https://openalex.org/W2095180434","https://openalex.org/W2110485445","https://openalex.org/W2171865010","https://openalex.org/W2350692562","https://openalex.org/W4254816979"],"related_works":["https://openalex.org/W57315087","https://openalex.org/W2010974764","https://openalex.org/W4386848428","https://openalex.org/W4205631599","https://openalex.org/W2021379535","https://openalex.org/W2020067398","https://openalex.org/W2967225774","https://openalex.org/W2903992663","https://openalex.org/W4237814686","https://openalex.org/W2997427060"],"abstract_inverted_index":{"Echo":[0,33,54],"State":[1,34,55],"Network":[2,35,56],"is":[3,83],"one":[4],"pioneering":[5],"recurrent":[6],"neural":[7,47],"network":[8,48],"with":[9,61],"the":[10,40,81,86],"core":[11],"structure":[12],"of":[13,27,39,89],"a":[14,23,71],"randomly":[15],"generated":[16],"and":[17,36,64],"unchangeable":[18],"reservoir.":[19],"This":[20],"paper":[21],"provides":[22],"Condition":[24],"prediction":[25,38,49,66,88],"model":[26,69,82],"flue":[28,90],"gas":[29,91],"turbine":[30],"by":[31],"applying":[32],"makes":[37],"overall":[41],"vibration":[42],"value.":[43],"Compared":[44],"to":[45],"Elman":[46],"model,":[50],"examples":[51],"show":[52],"that":[53,80],"has":[57,70],"wonderful":[58],"dynamic":[59],"characteristics":[60],"smaller":[62],"error":[63],"less":[65],"time.":[67],"The":[68],"good":[72],"performance":[73],"in":[74,85],"non-linear":[75],"time":[76],"series":[77],"prediction,":[78],"indicating":[79],"feasible":[84],"condition":[87],"turbine.":[92]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}