{"id":"https://openalex.org/W2906468412","doi":"https://doi.org/10.3390/e21010018","title":"Gearbox Composite Fault Diagnosis Method Based on Minimum Entropy Deconvolution and Improved Dual-Tree Complex Wavelet Transform","display_name":"Gearbox Composite Fault Diagnosis Method Based on Minimum Entropy Deconvolution and Improved Dual-Tree Complex Wavelet Transform","publication_year":2018,"publication_date":"2018-12-26","ids":{"openalex":"https://openalex.org/W2906468412","doi":"https://doi.org/10.3390/e21010018","mag":"2906468412","pmid":"https://pubmed.ncbi.nlm.nih.gov/33266734"},"language":"en","primary_location":{"id":"doi:10.3390/e21010018","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21010018","pdf_url":"https://www.mdpi.com/1099-4300/21/1/18/pdf?version=1545813603","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/1099-4300/21/1/18/pdf?version=1545813603","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101601745","display_name":"Ziying Zhang","orcid":"https://orcid.org/0000-0002-1521-8470"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziying Zhang","raw_affiliation_strings":["School of Mechanical, Electronic and Information Engineering, China University of Mining and Technology (CUMT), Xueyuan Road, Beijing 100083, China","Shanxi Institute of Energy, Daxue Road, Jinzhong 030600, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical, Electronic and Information Engineering, China University of Mining and Technology (CUMT), Xueyuan Road, Beijing 100083, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Shanxi Institute of Energy, Daxue Road, Jinzhong 030600, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430860","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0002-9180-1182"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zhang","raw_affiliation_strings":["School of Mechanical, Electronic and Information Engineering, China University of Mining and Technology (CUMT), Xueyuan Road, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical, Electronic and Information Engineering, China University of Mining and Technology (CUMT), Xueyuan Road, Beijing 100083, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411728","display_name":"Panpan Zhang","orcid":"https://orcid.org/0000-0002-3967-6548"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Panpan Zhang","raw_affiliation_strings":["Shanxi Institute of Energy, Daxue Road, Jinzhong 030600, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Institute of Energy, Daxue Road, Jinzhong 030600, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030075870","display_name":"Fengbiao Wu","orcid":"https://orcid.org/0000-0002-1917-898X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fengbiao Wu","raw_affiliation_strings":["Shanxi Institute of Energy, Daxue Road, Jinzhong 030600, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Institute of Energy, Daxue Road, Jinzhong 030600, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100722798","display_name":"Xuehui Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuehui Li","raw_affiliation_strings":["Shanxi Institute of Energy, Daxue Road, Jinzhong 030600, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanxi Institute of Energy, Daxue Road, Jinzhong 030600, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101601745"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":1.3212,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.8096608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":"1","first_page":"18","last_page":"18"},"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9919999837875366,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9915000200271606,"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/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.7223154902458191},{"id":"https://openalex.org/keywords/complex-wavelet-transform","display_name":"Complex wavelet transform","score":0.6549860835075378},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.550129234790802},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5367770195007324},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5210913419723511},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.5174644589424133},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4874024987220764},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.47216910123825073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4718080759048462},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.46301978826522827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4606736898422241},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4263227581977844},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.4139113426208496},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4119732677936554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38735082745552063},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.33243972063064575},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1489797830581665},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10214310884475708},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09467196464538574}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.7223154902458191},{"id":"https://openalex.org/C2777885455","wikidata":"https://www.wikidata.org/wiki/Q5156615","display_name":"Complex wavelet transform","level":5,"score":0.6549860835075378},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.550129234790802},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5367770195007324},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5210913419723511},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.5174644589424133},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4874024987220764},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.47216910123825073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4718080759048462},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.46301978826522827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4606736898422241},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4263227581977844},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.4139113426208496},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4119732677936554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38735082745552063},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.33243972063064575},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1489797830581665},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10214310884475708},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09467196464538574},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e21010018","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21010018","pdf_url":"https://www.mdpi.com/1099-4300/21/1/18/pdf?version=1545813603","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:33266734","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33266734","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:792780a034ff427399fe266405d04c7d","is_oa":true,"landing_page_url":"https://doaj.org/article/792780a034ff427399fe266405d04c7d","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,"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":"Entropy, Vol 21, Iss 1, p 18 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/21/1/18/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e21010018","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:7514118","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7514118","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e21010018","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e21010018","pdf_url":"https://www.mdpi.com/1099-4300/21/1/18/pdf?version=1545813603","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","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2906468412.pdf","grobid_xml":"https://content.openalex.org/works/W2906468412.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1438045566","https://openalex.org/W1904207232","https://openalex.org/W1971521993","https://openalex.org/W1976268849","https://openalex.org/W2000982976","https://openalex.org/W2002531711","https://openalex.org/W2033777252","https://openalex.org/W2117038284","https://openalex.org/W2120390927","https://openalex.org/W2127564414","https://openalex.org/W2234229434","https://openalex.org/W2286630851","https://openalex.org/W2335495295","https://openalex.org/W2460681092","https://openalex.org/W2557478438","https://openalex.org/W2558698691","https://openalex.org/W2568819930","https://openalex.org/W2598228258","https://openalex.org/W2607759661","https://openalex.org/W2612554669","https://openalex.org/W2624745694","https://openalex.org/W2734981343","https://openalex.org/W2758113345","https://openalex.org/W2765414610","https://openalex.org/W2767154202","https://openalex.org/W2769390281","https://openalex.org/W2779652379","https://openalex.org/W2802705402","https://openalex.org/W2896114995","https://openalex.org/W2899940281","https://openalex.org/W6746010976"],"related_works":["https://openalex.org/W2100138396","https://openalex.org/W2205192157","https://openalex.org/W2533030725","https://openalex.org/W2906201733","https://openalex.org/W2065452897","https://openalex.org/W2164080904","https://openalex.org/W2349684595","https://openalex.org/W2170258560","https://openalex.org/W2552558655","https://openalex.org/W4307641702"],"abstract_inverted_index":{"Dual-tree":[0],"complex":[1,33],"wavelet":[2,34],"transform":[3,35],"has":[4,16,22,141],"been":[5,142],"successfully":[6,165],"applied":[7,149],"to":[8,43,68,124,150],"the":[9,45,52,58,62,69,84,89,96,100,126,135,138,145,151,162,167,177,212],"composite":[10,46],"diagnosis":[11],"of":[12,48,54,61,83,129,137,156,174,184,191,215],"a":[13,49,157,172,181,208,216],"gearbox":[14,178,217],"and":[15,37,57,99,117,134,187,194],"achieved":[17],"good":[18],"results.":[19],"However,":[20],"it":[21],"some":[23],"fatal":[24],"weaknesses,":[25],"so":[26],"this":[27,205],"paper":[28,206],"proposes":[29],"an":[30],"improved":[31],"dual-tree":[32],"(IDTCWT),":[36],"combines":[38],"minimum":[39,92],"entropy":[40,93],"deconvolution":[41],"(MED)":[42],"diagnose":[44],"fault":[47,153,170,179],"gearbox.":[50,158],"Firstly,":[51],"number":[53],"decomposition":[55,110,115,120],"levels":[56],"effective":[59],"sub-bands":[60,86],"DTCWT":[63],"are":[64,122],"adaptively":[65],"determined":[66],"according":[67],"correlation":[70],"coefficient":[71],"matrix.":[72],"Secondly,":[73],"frequency":[74,173,183,190],"mixing":[75],"is":[76,148,197],"removed":[77],"by":[78,91],"notch":[79],"filter.":[80],"Thirdly,":[81],"each":[82],"obtained":[85],"further":[87],"reduces":[88],"noise":[90,103],"deconvolution.":[94],"Then,":[95],"proposed":[97,139,146,163,203],"method":[98,140,147,164,202],"existing":[101],"adaptive":[102],"reduction":[104],"methods,":[105],"such":[106],"as":[107],"empirical":[108,113],"mode":[109,114,119,199],"(EMD),":[111],"ensemble":[112],"(EEMD),":[116],"variational":[118],"(VMD),":[121],"used":[123],"decompose":[125],"two":[127],"sets":[128],"simulation":[130],"signals":[131],"in":[132,204],"comparison,":[133],"feasibility":[136],"verified.":[143],"Finally,":[144],"compound":[152,218],"vibration":[154],"signal":[155],"The":[159,201],"results":[160],"show":[161],"extracts":[166],"outer":[168],"ring":[169],"at":[171],"160":[175],"Hz,":[176,193],"with":[180],"characteristic":[182],"360":[185],"Hz":[186],"its":[188],"double":[189],"720":[192],"that":[195],"there":[196],"no":[198],"mixing.":[200],"provides":[207],"new":[209],"idea":[210],"for":[211],"feature":[213],"extraction":[214],"fault.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
