{"id":"https://openalex.org/W3160091735","doi":"https://doi.org/10.1145/3452940.3452953","title":"Fault Diagnosis Method of Electric Deep Well Pump Based on CEEMDAN-CNN","display_name":"Fault Diagnosis Method of Electric Deep Well Pump Based on CEEMDAN-CNN","publication_year":2020,"publication_date":"2020-12-03","ids":{"openalex":"https://openalex.org/W3160091735","doi":"https://doi.org/10.1145/3452940.3452953","mag":"3160091735"},"language":"en","primary_location":{"id":"doi:10.1145/3452940.3452953","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3452940.3452953","pdf_url":null,"source":{"id":"https://openalex.org/S4306523813","display_name":"Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering","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":"Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering","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/A5101938855","display_name":"Weiye Li","orcid":"https://orcid.org/0000-0002-8745-9441"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiye Li","raw_affiliation_strings":["School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091670761","display_name":"Jinwen Yu","orcid":"https://orcid.org/0009-0009-5187-1942"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwen Yu","raw_affiliation_strings":["School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088162245","display_name":"Caihua Hao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Caihua Hao","raw_affiliation_strings":["Wuhan Intelligent Equipment, Industrial Technology Institute Company Limited, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan Intelligent Equipment, Industrial Technology Institute Company Limited, Wuhan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101938855"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36258865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"67","last_page":"73"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13050","display_name":"Oil and Gas Production Techniques","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T13050","display_name":"Oil and Gas Production Techniques","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9864000082015991,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.978600025177002,"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/computer-science","display_name":"Computer science","score":0.6285009384155273},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6188488006591797},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5871801972389221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5843450427055359},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5478569269180298},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.5190302133560181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5011494159698486},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.49135032296180725},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4489322900772095},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.44345003366470337},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4399169981479645},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42011094093322754},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.12358307838439941}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6285009384155273},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6188488006591797},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5871801972389221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5843450427055359},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5478569269180298},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.5190302133560181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5011494159698486},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.49135032296180725},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4489322900772095},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.44345003366470337},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4399169981479645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42011094093322754},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.12358307838439941},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3452940.3452953","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3452940.3452953","pdf_url":null,"source":{"id":"https://openalex.org/S4306523813","display_name":"Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering","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":"Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2611805286","https://openalex.org/W2638247528","https://openalex.org/W2783012560","https://openalex.org/W2794852478","https://openalex.org/W2902395336","https://openalex.org/W2980957619","https://openalex.org/W2995244403","https://openalex.org/W3001732999"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W148178222","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W4224922629","https://openalex.org/W2077021924"],"abstract_inverted_index":{"The":[0,111],"electric":[1,65],"deep":[2],"well":[3],"pump":[4],"is":[5,14,22,35,81,89,127,137],"the":[6,10,15,20,77,86,95,115,120,133],"core":[7],"equipment":[8],"on":[9],"tanker,":[11],"and":[12,31,43,74,83,93,101,107,132],"it":[13,34],"key":[16],"execution":[17],"link":[18],"when":[19],"tanker":[21],"working.":[23],"However,":[24],"due":[25],"to":[26,37,53,91],"its":[27],"harsh":[28],"working":[29],"environment":[30],"complex":[32],"structure,":[33],"prone":[36],"malfunctions":[38],"such":[39],"as":[40,138,140],"abnormal":[41],"vibration":[42,79],"loose":[44],"support,":[45],"resulting":[46],"in":[47,124],"performance":[48],"degradation":[49],"or":[50],"even":[51],"failure":[52],"work":[54],"properly.":[55],"This":[56],"paper":[57,126],"proposes":[58],"a":[59],"CEEMDAN-CNN-based":[60],"fault":[61],"diagnosis":[62],"method":[63,122],"for":[64],"deep-well":[66,99],"pumps.":[67],"First,":[68],"combined":[69],"with":[70,103],"wavelet":[71],"threshold":[72],"denoising":[73],"CEEMDAN":[75],"method,":[76],"original":[78],"signal":[80],"de-noised":[82],"decomposed.":[84],"Then,":[85],"CNN":[87],"model":[88,116],"used":[90],"diagnose":[92],"classify":[94],"typical":[96],"faults":[97],"of":[98,119],"pumps,":[100],"compared":[102],"Traditional":[104],"SVM,":[105],"Bayes":[106],"decision":[108],"tree":[109],"methods.":[110],"results":[112],"show":[113],"that":[114],"training":[117],"time":[118],"CEEMDAN-CNN":[121],"proposed":[123],"this":[125],"reduced":[128],"by":[129],"nearly":[130],"60%,":[131],"test":[134],"accuracy":[135],"rate":[136],"high":[139],"99.7%.":[141]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
