{"id":"https://openalex.org/W3035908865","doi":"https://doi.org/10.3390/e22060685","title":"Multiscale Entropy Feature Extraction Method of Running Power Equipment Sound","display_name":"Multiscale Entropy Feature Extraction Method of Running Power Equipment Sound","publication_year":2020,"publication_date":"2020-06-19","ids":{"openalex":"https://openalex.org/W3035908865","doi":"https://doi.org/10.3390/e22060685","mag":"3035908865","pmid":"https://pubmed.ncbi.nlm.nih.gov/33286457"},"language":"en","primary_location":{"id":"doi:10.3390/e22060685","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22060685","pdf_url":"https://www.mdpi.com/1099-4300/22/6/685/pdf?version=1593512124","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/22/6/685/pdf?version=1593512124","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074922762","display_name":"Yongjie Zhai","orcid":"https://orcid.org/0000-0003-2997-5840"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjie Zhai","raw_affiliation_strings":["Department of Automation, North China Electricity Power University, Baoding 071003, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, North China Electricity Power University, Baoding 071003, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064305881","display_name":"Xu Yang","orcid":"https://orcid.org/0000-0002-3612-1061"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Yang","raw_affiliation_strings":["Department of Automation, North China Electricity Power University, Baoding 071003, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, North China Electricity Power University, Baoding 071003, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109174274","display_name":"Yani Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yani Peng","raw_affiliation_strings":["Department of Automation, North China Electricity Power University, Baoding 071003, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, North China Electricity Power University, Baoding 071003, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740748","display_name":"Xinying Wang","orcid":"https://orcid.org/0000-0003-3704-4747"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinying Wang","raw_affiliation_strings":["Department of Computer, North China Electricity Power University, Baoding 071003, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer, North China Electricity Power University, Baoding 071003, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051505769","display_name":"Kang Bai","orcid":"https://orcid.org/0000-0002-4471-078X"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Bai","raw_affiliation_strings":["Department of Automation, North China Electricity Power University, Baoding 071003, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, North China Electricity Power University, Baoding 071003, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100740748"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.302,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58942365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":"6","first_page":"685","last_page":"685"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12759","display_name":"Vehicle Noise and Vibration Control","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T12759","display_name":"Vehicle Noise and Vibration Control","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.955299973487854,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.6992923021316528},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6250219941139221},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.591786801815033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5826157927513123},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5728957056999207},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.554485559463501},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47322049736976624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46398141980171204},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45741695165634155},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.432311475276947},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35826513171195984},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.19914838671684265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992923021316528},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6250219941139221},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.591786801815033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5826157927513123},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5728957056999207},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.554485559463501},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47322049736976624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46398141980171204},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45741695165634155},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.432311475276947},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35826513171195984},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.19914838671684265},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e22060685","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22060685","pdf_url":"https://www.mdpi.com/1099-4300/22/6/685/pdf?version=1593512124","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:33286457","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33286457","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:8c3ea2a550094281870171bdbc1c3df0","is_oa":true,"landing_page_url":"https://doaj.org/article/8c3ea2a550094281870171bdbc1c3df0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 22, Iss 6, p 685 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/22/6/685/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e22060685","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7517222","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7517222","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e22060685","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e22060685","pdf_url":"https://www.mdpi.com/1099-4300/22/6/685/pdf?version=1593512124","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G2889631022","display_name":null,"funder_award_id":"61871182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3453591553","display_name":null,"funder_award_id":"61773160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7768632610","display_name":null,"funder_award_id":"4192055","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3035908865.pdf","grobid_xml":"https://content.openalex.org/works/W3035908865.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1862394037","https://openalex.org/W1973048907","https://openalex.org/W2006803905","https://openalex.org/W2007221293","https://openalex.org/W2014683958","https://openalex.org/W2019531644","https://openalex.org/W2046972719","https://openalex.org/W2059851411","https://openalex.org/W2064280713","https://openalex.org/W2088176974","https://openalex.org/W2106296309","https://openalex.org/W2120390927","https://openalex.org/W2125056386","https://openalex.org/W2169144796","https://openalex.org/W2353333692","https://openalex.org/W2370420399","https://openalex.org/W2383042437","https://openalex.org/W2386491521","https://openalex.org/W2552156164","https://openalex.org/W2560233485","https://openalex.org/W2563167163","https://openalex.org/W2612604799","https://openalex.org/W2749342686","https://openalex.org/W2768707988","https://openalex.org/W2777200870","https://openalex.org/W2883554987","https://openalex.org/W2890605846","https://openalex.org/W2899770998","https://openalex.org/W2909359396","https://openalex.org/W2921723074","https://openalex.org/W2921876523","https://openalex.org/W2925041750","https://openalex.org/W2944175535","https://openalex.org/W2944236820","https://openalex.org/W2951562201","https://openalex.org/W2963640566","https://openalex.org/W2974152683","https://openalex.org/W2983916330","https://openalex.org/W2990424827","https://openalex.org/W2998459193","https://openalex.org/W3008214102","https://openalex.org/W6771226318"],"related_works":["https://openalex.org/W2361368121","https://openalex.org/W2036846997","https://openalex.org/W2112223184","https://openalex.org/W2347586617","https://openalex.org/W2161963661","https://openalex.org/W2125614474","https://openalex.org/W2295845123","https://openalex.org/W2358054814","https://openalex.org/W2090882960","https://openalex.org/W2889544313"],"abstract_inverted_index":{"The":[0,122,184],"equipment":[1,41,46,54],"condition":[2],"monitoring":[3,47],"based":[4,80,163],"on":[5,81,164],"computer":[6],"hearing":[7],"is":[8,99,104,154],"a":[9,76,108],"new":[10],"pattern":[11],"recognition":[12],"approach,":[13],"and":[14,25,63,93,128,134,147,152,201,206,217],"the":[15,21,34,38,45,50,57,82,102,116,142,158,165,168,177,182,189,193,196,211,220,225],"system":[16],"formed":[17],"by":[18],"it":[19,67],"has":[20,56,214],"advantages":[22],"of":[23,37,52,59,110,118,139,181,192,198,224],"noncontact":[24],"strong":[26],"early":[27],"warning":[28],"abilities.":[29],"Extracting":[30],"effective":[31],"features":[32],"from":[33,115],"sound":[35,51,117,221],"data":[36],"running":[39,53,119,226],"power":[40,120,227],"help":[42],"to":[43,69,106,156,175],"improve":[44],"accuracy.":[48],"However,":[49],"often":[55],"characteristics":[58],"serious":[60],"noise,":[61],"non-linearity":[62],"instationary,":[64],"which":[65],"makes":[66],"difficult":[68],"extract":[70],"features.":[71],"To":[72],"solve":[73],"this":[74],"problem,":[75],"feature":[77,180,222],"extraction":[78,223],"method":[79,194,213],"improved":[83,95],"complementary":[84],"ensemble":[85],"empirical":[86],"mode":[87,112],"decomposition":[88],"with":[89],"adaptive":[90],"noise":[91,123,200],"(ICEEMDAN)":[92],"multiscale":[94,178],"permutation":[96],"entropy":[97,179],"(MIPE)":[98],"proposed.":[100],"Firstly,":[101],"ICEEMDAN":[103],"utilized":[105,155],"obtain":[107,176],"group":[109],"intrinsic":[111],"functions":[113],"(IMFs)":[114],"equipment.":[121,228],"IMFs":[124],"are":[125,149,172],"then":[126],"identified":[127],"eliminated":[129],"through":[130],"mutual":[131,136,144],"information":[132,137,145],"(MI)":[133],"mean":[135],"(meanMI)":[138],"IMFs.":[140],"Next,":[141],"normalized":[143],"(norMI)":[146],"MIPE":[148,160,170],"calculated":[150],"respectively,":[151],"norMI":[153],"weigh":[157],"corresponding":[159],"result.":[161],"Finally,":[162],"separability":[166],"criterion,":[167],"weighted":[169],"results":[171,186],"feature-dimensionally":[173],"reduced":[174],"sound.":[183],"experimental":[185],"show":[187],"that":[188],"classification":[190],"accuracies":[191],"under":[195],"conditions":[197],"no":[199],"5":[202],"dB":[203],"reach":[204],"96.7%":[205],"89.9%,":[207],"respectively.":[208],"In":[209],"practice,":[210],"proposed":[212],"higher":[215],"reliability":[216],"stability":[218],"for":[219]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"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"}