{"id":"https://openalex.org/W2783980603","doi":"https://doi.org/10.1109/icsai.2017.8248361","title":"A comparative research based on three different algorithms for fault diagnosis in gas turbine","display_name":"A comparative research based on three different algorithms for fault diagnosis in gas turbine","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2783980603","doi":"https://doi.org/10.1109/icsai.2017.8248361","mag":"2783980603"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2017.8248361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","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/A5032061647","display_name":"Bo Yuan","orcid":"https://orcid.org/0000-0003-2169-0007"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Yuan","raw_affiliation_strings":["College of Automation Engineering, Shanghai University of Electric Power, Shanghai, CN"],"affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Shanghai University of Electric Power, Shanghai, CN","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045590515","display_name":"Fei Xia","orcid":"https://orcid.org/0000-0003-0793-3113"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Xia","raw_affiliation_strings":["College of Automation Engineering, Shanghai University of Electric Power, Shanghai, CN"],"affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Shanghai University of Electric Power, Shanghai, CN","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429169","display_name":"Zhicheng Wang","orcid":"https://orcid.org/0000-0002-0847-1558"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Cheng Wang","raw_affiliation_strings":["College of Automation Engineering, Shanghai University of Electric Power, Shanghai, CN"],"affiliations":[{"raw_affiliation_string":"College of Automation Engineering, Shanghai University of Electric Power, Shanghai, CN","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078078317","display_name":"Hai-feng Tie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hai-Feng Tie","raw_affiliation_strings":["Shanghai Green Motive Technology Ltd, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Green Motive Technology Ltd, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032061647"],"corresponding_institution_ids":["https://openalex.org/I23632641"],"apc_list":null,"apc_paid":null,"fwci":0.1433,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54242278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"42","issue":null,"first_page":"605","last_page":"610"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9994999766349792,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9994999766349792,"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/T12368","display_name":"Grey System Theory Applications","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.9851999878883362,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7615282535552979},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.7406584024429321},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.7009727954864502},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6942030787467957},{"id":"https://openalex.org/keywords/gas-turbines","display_name":"Gas turbines","score":0.608704686164856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5648163557052612},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.5502625703811646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5470330715179443},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4261944890022278},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.29893308877944946},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26268428564071655}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7615282535552979},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.7406584024429321},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.7009727954864502},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6942030787467957},{"id":"https://openalex.org/C2987684023","wikidata":"https://www.wikidata.org/wiki/Q193470","display_name":"Gas turbines","level":2,"score":0.608704686164856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5648163557052612},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.5502625703811646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5470330715179443},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4261944890022278},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29893308877944946},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26268428564071655},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2017.8248361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248361","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7900000214576721,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1980460580","https://openalex.org/W2021826571","https://openalex.org/W2039238531","https://openalex.org/W2055839697","https://openalex.org/W2096830239","https://openalex.org/W2349690905","https://openalex.org/W2349878494","https://openalex.org/W2352718711","https://openalex.org/W2362264207","https://openalex.org/W2370752577","https://openalex.org/W2374542638","https://openalex.org/W2377225004","https://openalex.org/W2380505796","https://openalex.org/W2382965847","https://openalex.org/W2391142509"],"related_works":["https://openalex.org/W4239286941","https://openalex.org/W2088845016","https://openalex.org/W589102260","https://openalex.org/W1966421350","https://openalex.org/W1868434454","https://openalex.org/W4366985237","https://openalex.org/W2810569973","https://openalex.org/W2128396103","https://openalex.org/W4366984740","https://openalex.org/W4367299891"],"abstract_inverted_index":{"In":[0,69],"view":[1],"of":[2,4,29,64,72],"disadvantage":[3],"neural":[5,40,47,54,86],"network":[6,48,87],"in":[7,16,23],"gas":[8,24,65,79],"turbine":[9,66,80],"fault":[10,21,67,81],"diagnosis,":[11],"other":[12],"algorithms":[13],"are":[14,36,56],"used":[15,59],"this":[17,73],"article":[18],"to":[19,60],"improve":[20],"diagnosis":[22,82,91,97],"turbine.":[25],"With":[26],"the":[27,62,70,75,89,95],"application":[28],"MATLAB":[30],"programming,":[31],"three":[32],"different":[33],"algorithms,":[34],"which":[35],"Back":[37],"Propagation":[38,45,52],"(BP)":[39],"network,":[41,55],"Particle":[42],"Swarm":[43],"Optimization-Back":[44],"(PSO-BP)":[46],"and":[49,58,94],"Lenvenberg":[50],"Marquardt-Back":[51],"(LM-BP)":[53],"studied":[57],"compare":[61],"performance":[63],"diagnosis.":[68],"models":[71],"paper,":[74],"results":[76],"show":[77],"that":[78],"based":[83],"on":[84],"LM-BP":[85],"has":[88],"best":[90],"identification":[92,98],"ratio":[93],"fastest":[96],"rate.":[99]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}