{"id":"https://openalex.org/W4316372002","doi":"https://doi.org/10.3390/app13021134","title":"Rotor Fault Diagnosis Method Based on VMD Symmetrical Polar Image and Fuzzy Neural Network","display_name":"Rotor Fault Diagnosis Method Based on VMD Symmetrical Polar Image and Fuzzy Neural Network","publication_year":2023,"publication_date":"2023-01-14","ids":{"openalex":"https://openalex.org/W4316372002","doi":"https://doi.org/10.3390/app13021134"},"language":"en","primary_location":{"id":"doi:10.3390/app13021134","doi":"https://doi.org/10.3390/app13021134","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app13021134","pdf_url":"https://www.mdpi.com/2076-3417/13/2/1134/pdf?version=1674096508","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2076-3417/13/2/1134/pdf?version=1674096508","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102708682","display_name":"Xiaolong Zhou","orcid":"https://orcid.org/0000-0002-0934-6046","observed_orcids":["https://orcid.org/0000-0002-0934-6046"]},"institutions":[{"id":"https://openalex.org/I121691239","display_name":"Beihua University","ror":"https://ror.org/013jjp941","country_code":"CN","type":"education","lineage":["https://openalex.org/I121691239"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Zhou","raw_affiliation_strings":["Mechanical Engineering College, Beihua University, Jilin 132021, China"],"raw_orcid":"https://orcid.org/0000-0002-0934-6046","affiliations":[{"raw_affiliation_string":"Mechanical Engineering College, Beihua University, Jilin 132021, China","institution_ids":["https://openalex.org/I121691239"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072664727","display_name":"Xiangkun Wang","orcid":"https://orcid.org/0009-0006-5704-3329","observed_orcids":["https://orcid.org/0009-0006-5704-3329","https://orcid.org/0000-0001-7567-4702"]},"institutions":[{"id":"https://openalex.org/I121691239","display_name":"Beihua University","ror":"https://ror.org/013jjp941","country_code":"CN","type":"education","lineage":["https://openalex.org/I121691239"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangkun Wang","raw_affiliation_strings":["Mechanical Engineering College, Beihua University, Jilin 132021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechanical Engineering College, Beihua University, Jilin 132021, China","institution_ids":["https://openalex.org/I121691239"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383992","display_name":"Haotian Wang","orcid":"https://orcid.org/0000-0001-9408-8565","observed_orcids":["https://orcid.org/0000-0001-9408-8565"]},"institutions":[{"id":"https://openalex.org/I121691239","display_name":"Beihua University","ror":"https://ror.org/013jjp941","country_code":"CN","type":"education","lineage":["https://openalex.org/I121691239"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Wang","raw_affiliation_strings":["Mechanical Engineering College, Beihua University, Jilin 132021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechanical Engineering College, Beihua University, Jilin 132021, China","institution_ids":["https://openalex.org/I121691239"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034619086","display_name":"Linlin Cao","orcid":"https://orcid.org/0000-0002-4894-6319","observed_orcids":["https://orcid.org/0000-0002-4894-6319"]},"institutions":[{"id":"https://openalex.org/I121691239","display_name":"Beihua University","ror":"https://ror.org/013jjp941","country_code":"CN","type":"education","lineage":["https://openalex.org/I121691239"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linlin Cao","raw_affiliation_strings":["Mechanical Engineering College, Beihua University, Jilin 132021, China"],"raw_orcid":"https://orcid.org/0000-0002-4894-6319","affiliations":[{"raw_affiliation_string":"Mechanical Engineering College, Beihua University, Jilin 132021, China","institution_ids":["https://openalex.org/I121691239"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhongyuan Xing","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I121691239","display_name":"Beihua University","ror":"https://ror.org/013jjp941","country_code":"CN","type":"education","lineage":["https://openalex.org/I121691239"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyuan Xing","raw_affiliation_strings":["Mechanical Engineering College, Beihua University, Jilin 132021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechanical Engineering College, Beihua University, Jilin 132021, China","institution_ids":["https://openalex.org/I121691239"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101309365","display_name":"Zhilun Yang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I121691239","display_name":"Beihua University","ror":"https://ror.org/013jjp941","country_code":"CN","type":"education","lineage":["https://openalex.org/I121691239"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhilun Yang","raw_affiliation_strings":["Mechanical Engineering College, Beihua University, Jilin 132021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechanical Engineering College, Beihua University, Jilin 132021, China","institution_ids":["https://openalex.org/I121691239"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5034619086","https://openalex.org/A5101309365"],"corresponding_institution_ids":["https://openalex.org/I121691239"],"apc_list":{"value":2300,"currency":"CHF","value_usd":2558},"apc_paid":{"value":2300,"currency":"CHF","value_usd":2558},"fwci":0.6072,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.5850381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"13","issue":"2","first_page":"1134","last_page":"1134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":1.0,"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":1.0,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.0,"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/T12737","display_name":"Electrical Fault Detection and Protection","score":0.0,"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/rotor-fault-diagnosis","display_name":"rotor fault diagnosis","score":1.0},{"id":"https://openalex.org/keywords/variational-mode-decomposition","display_name":"variational mode decomposition","score":0.996999979019165},{"id":"https://openalex.org/keywords/fuzzy-neural-network","display_name":"fuzzy neural network","score":0.9829999804496765},{"id":"https://openalex.org/keywords/intrinsic-mode-function","display_name":"intrinsic mode functions","score":0.699999988079071},{"id":"https://openalex.org/keywords/gray-level-co-occurrence-matrix","display_name":"gray level co-occurrence matrix","score":0.9879999756813049},{"id":"https://openalex.org/keywords/image-feature-extraction","display_name":"image feature extraction","score":0.703000009059906}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6305529475212097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5612817406654358},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5545116662979126},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5512382984161377},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5228012800216675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5037843585014343},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4801689684391022},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.452671080827713},{"id":"https://openalex.org/C40069579","wikidata":"https://www.wikidata.org/wiki/Q62494","display_name":"Polar coordinate system","level":2,"score":0.4373273253440857},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3971417546272278},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3235030472278595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23236611485481262},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/app13021134","doi":"https://doi.org/10.3390/app13021134","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app13021134","pdf_url":"https://www.mdpi.com/2076-3417/13/2/1134/pdf?version=1674096508","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:63c08ddebb57467c87c4ea298c42a833","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/63c08ddebb57467c87c4ea298c42a833","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,"listed_in":[],"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":"Applied Sciences, Vol 13, Iss 2, p 1134 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/app13021134","doi":"https://doi.org/10.3390/app13021134","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app13021134","pdf_url":"https://www.mdpi.com/2076-3417/13/2/1134/pdf?version=1674096508","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326270","display_name":"Education Department of Jilin Province","ror":"https://ror.org/05782e512"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4316372002.pdf","grobid_xml":"https://content.openalex.org/works/W4316372002.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1894803811","https://openalex.org/W1969494221","https://openalex.org/W1985773237","https://openalex.org/W2000982976","https://openalex.org/W2007221293","https://openalex.org/W2027487032","https://openalex.org/W2061063828","https://openalex.org/W2140554090","https://openalex.org/W2283544056","https://openalex.org/W2365641974","https://openalex.org/W2373684492","https://openalex.org/W2600675357","https://openalex.org/W2902311642","https://openalex.org/W2914334963","https://openalex.org/W3020948007","https://openalex.org/W3123107001","https://openalex.org/W3161010649","https://openalex.org/W4200052850"],"related_works":["https://openalex.org/W4404051330","https://openalex.org/W3009666770","https://openalex.org/W4285590519","https://openalex.org/W2357979286","https://openalex.org/W4402789223","https://openalex.org/W2914334963","https://openalex.org/W3009669320","https://openalex.org/W2748001141","https://openalex.org/W7033545083","https://openalex.org/W4407200694"],"abstract_inverted_index":{"Rotor":[0],"fault":[1,15,19,33,43,50,166,227],"diagnosis":[2,44,51],"has":[3,224],"attracted":[4],"much":[5],"attention":[6],"due":[7],"to":[8,31,41,101,148,162,196],"its":[9],"difficulties":[10],"such":[11],"as":[12],"non-stationarity":[13],"of":[14,26,36,85,171,188,200,210],"signals,":[16,173],"difficulty":[17],"in":[18],"feature":[20,34,152],"extraction":[21],"and":[22,40,62,79,190,205,231],"low":[23],"diagnostic":[24],"accuracy":[25,209],"small":[27],"samples.":[28],"In":[29],"order":[30],"extract":[32],"information":[35],"rotors":[37],"more":[38],"effectively":[39],"improve":[42],"precision,":[45],"this":[46,211],"paper":[47],"proposed":[48,180,221],"a":[49,112,125,184],"method":[52,78,88,181,222],"based":[53,110],"on":[54,111],"variational":[55],"mode":[56,95],"decomposition":[57],"(VMD)":[58],"symmetrical":[59,132],"polar":[60,133],"image":[61,128,138],"fuzzy":[63,159,202],"neural":[64,160,203],"network.":[65],"Firstly,":[66],"the":[67,76,80,86,93,102,119,131,137,143,150,158,164,169,174,179,191,198,201,206,220,225,232],"original":[68],"rotor":[69,165],"vibration":[70],"signal":[71,103,108,121],"is":[72,89,122,155,194,213],"decomposed":[73],"by":[74,142],"using":[75,130],"VMD":[77,87],"relevant":[81],"parameter":[82],"selection":[83],"algorithm":[84],"also":[90],"proposed.":[91],"Secondly,":[92],"intrinsic":[94],"functions":[96],"(IMF),":[97],"which":[98,154],"are":[99,105,140],"sensitive":[100],"characteristics,":[104],"selected":[106],"for":[107],"reconstruction":[109],"comprehensive":[113],"evaluation":[114],"factor":[115],"method.":[116,135],"As":[117],"well,":[118],"reconstructed":[120],"transformed":[123],"into":[124,157],"two-dimensional":[126],"snowflake":[127],"through":[129],"coordinate":[134],"Finally,":[136],"features":[139],"extracted":[141],"gray":[144],"level":[145],"co-occurrence":[146],"matrix":[147],"form":[149],"state":[151],"vector,":[153],"input":[156],"network":[161],"realize":[163],"diagnosis.":[167],"Through":[168],"analysis":[170],"measured":[172],"experimental":[175],"results":[176],"show":[177],"that":[178],"can":[182],"reach":[183],"higher":[185],"recognition":[186,208,228],"rate":[187],"98%":[189],"k-cross-validation":[192],"experiment":[193,212],"used":[195],"demonstrate":[197],"robustness":[199],"network,":[204],"average":[207],"99.2%.":[214],"Compared":[215],"with":[216],"some":[217],"similar":[218],"methods,":[219],"still":[223],"highest":[226],"precision":[229],"98.4%,":[230],"smallest":[233],"standard":[234],"deviation":[235],"0.5477.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-01-16T00:00:00"}
