{"id":"https://openalex.org/W4301410760","doi":"https://doi.org/10.1145/3546000.3546029","title":"Fault Early Warning of Wind Turbine Generator based on Residual Autoencoder Network","display_name":"Fault Early Warning of Wind Turbine Generator based on Residual Autoencoder Network","publication_year":2022,"publication_date":"2022-06-23","ids":{"openalex":"https://openalex.org/W4301410760","doi":"https://doi.org/10.1145/3546000.3546029"},"language":"en","primary_location":{"id":"doi:10.1145/3546000.3546029","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3546000.3546029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications","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/A5100356524","display_name":"Zhaoyang Wang","orcid":"https://orcid.org/0000-0001-6659-8904"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhaoyang Wang","raw_affiliation_strings":["Nanjing Huadun power information security evaluation Co., Ltd, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Huadun power information security evaluation Co., Ltd, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100356524"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4988,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6244173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"189","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9997000098228455,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.978600025177002,"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/T13050","display_name":"Oil and Gas Production Techniques","score":0.9639999866485596,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/autoencoder","display_name":"Autoencoder","score":0.8402036428451538},{"id":"https://openalex.org/keywords/scada","display_name":"SCADA","score":0.8070135116577148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901358366012573},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6809985637664795},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.6523663997650146},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6100850701332092},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5632622838020325},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5552449226379395},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.5541886687278748},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.44207894802093506},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.44204413890838623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42441806197166443},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42126792669296265},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.23651796579360962},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21656975150108337},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1903369128704071}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8402036428451538},{"id":"https://openalex.org/C113863187","wikidata":"https://www.wikidata.org/wiki/Q17498","display_name":"SCADA","level":2,"score":0.8070135116577148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901358366012573},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6809985637664795},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.6523663997650146},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6100850701332092},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5632622838020325},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5552449226379395},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.5541886687278748},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.44207894802093506},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.44204413890838623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42441806197166443},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42126792669296265},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.23651796579360962},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21656975150108337},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1903369128704071},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3546000.3546029","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3546000.3546029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on High Performance Compilation, Computing and Communications","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":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1977020076","https://openalex.org/W2072638173","https://openalex.org/W2075948878","https://openalex.org/W2131065845","https://openalex.org/W2194775991","https://openalex.org/W2511730936","https://openalex.org/W2761148314","https://openalex.org/W2910341008","https://openalex.org/W2921555856","https://openalex.org/W2953885557","https://openalex.org/W3014445516","https://openalex.org/W3126741961","https://openalex.org/W3131848660","https://openalex.org/W3177525997"],"related_works":["https://openalex.org/W2615977515","https://openalex.org/W2115760278","https://openalex.org/W2146396794","https://openalex.org/W2809162650","https://openalex.org/W2807864071","https://openalex.org/W2388279172","https://openalex.org/W2617238897","https://openalex.org/W2055218442","https://openalex.org/W4386714408","https://openalex.org/W2221419418"],"abstract_inverted_index":{"The":[0,40,48],"condition":[1],"monitoring":[2],"and":[3,15,20,65,84,97,112,129,170],"fault":[4,27,185],"Early":[5],"Warning":[6],"of":[7,30,62,94,109,114,158,165,176],"wind":[8,31,182],"turbine":[9,32,183],"can":[10],"find":[11],"its":[12,17],"faults":[13],"early":[14],"reduce":[16],"failure":[18],"rate":[19],"maintenance":[21],"cost.":[22],"This":[23],"paper":[24],"presents":[25],"a":[26],"diagnosis":[28,186],"method":[29],"generator":[33,172,184],"based":[34],"on":[35],"residual":[36],"autoencoder":[37,45],"network":[38,46,50,72,88,146,180],"(RAE).":[39],"proposed":[41,178],"RAE":[42,87,179],"has":[43],"an":[44],"structure.":[47],"encoding":[49],"is":[51,73,187],"responsible":[52,74],"for":[53,75,181],"extracting":[54],"the":[55,59,70,81,86,91,106,110,115,120,124,127,133,138,141,145,156,162,166,174,177],"feature":[56,82],"vector":[57],"reflecting":[58],"distribution":[60],"law":[61],"supervisory":[63],"control":[64],"data":[66,78,96,168],"acquisition":[67],"(SCADA)":[68],"data,":[69],"decoding":[71],"reconstructing":[76],"SCADA":[77],"according":[79,89],"to":[80,90,147],"vector,":[83],"training":[85],"reconstruction":[92],"error":[93],"input":[95],"reconstructed":[98],"data.":[99],"There":[100],"are":[101],"several":[102],"shortcut":[103,142],"connections":[104,118,143],"between":[105],"corresponding":[107],"layers":[108],"encoder":[111,125],"decoder":[113,128],"RAE.":[116],"Shortcut":[117],"introduce":[119],"shallow":[121],"features":[122,136],"in":[123,137],"into":[126],"combines":[130],"them":[131],"with":[132],"deep":[134],"semantic":[135],"decoder.":[139],"Moreover,":[140],"allow":[144],"get":[148],"additional":[149],"supervision":[150],"during":[151],"back":[152],"propagation":[153],"process,":[154],"avoiding":[155],"problem":[157],"gradient":[159],"disappearance.":[160],"Through":[161],"simulation":[163],"analysis":[164],"recorded":[167],"before":[169],"after":[171],"fault,":[173],"effectiveness":[175],"verified.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-14T23:14:49.485078","created_date":"2025-10-10T00:00:00"}
