{"id":"https://openalex.org/W2766124620","doi":"https://doi.org/10.1109/access.2017.2766232","title":"Adaptive Mode Decomposition Methods and Their Applications in Signal Analysis for Machinery Fault Diagnosis: A Review With Examples","display_name":"Adaptive Mode Decomposition Methods and Their Applications in Signal Analysis for Machinery Fault Diagnosis: A Review With Examples","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2766124620","doi":"https://doi.org/10.1109/access.2017.2766232","mag":"2766124620"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2766232","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2766232","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2766232","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025855932","display_name":"Zhipeng Feng","orcid":"https://orcid.org/0000-0002-3403-4386"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Feng","raw_affiliation_strings":["School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3403-4386","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061444433","display_name":"Dong Zhang","orcid":"https://orcid.org/0000-0002-5044-4932"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhang","raw_affiliation_strings":["School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043676611","display_name":"Ming J. Zuo","orcid":"https://orcid.org/0000-0002-8607-2923"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Ming J. Zuo","raw_affiliation_strings":["Department of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada","School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8607-2923","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":9.3882,"has_fulltext":false,"cited_by_count":167,"citation_normalized_percentile":{"value":0.98380096,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"5","issue":null,"first_page":"24301","last_page":"24331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9896000027656555,"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"}},{"id":"https://openalex.org/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.9810000061988831,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.9534340500831604},{"id":"https://openalex.org/keywords/hilbert-transform","display_name":"Hilbert transform","score":0.6284497380256653},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.6086385846138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5700200200080872},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5277443528175354},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5138228535652161},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.481635719537735},{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.4738888144493103},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4658981263637543},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4646351635456085},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4468626379966736},{"id":"https://openalex.org/keywords/decomposition-method","display_name":"Decomposition method (queueing theory)","score":0.42931699752807617},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.41536566615104675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29861778020858765},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.26703131198883057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26499778032302856},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.1436934471130371},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09254413843154907},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.07260352373123169}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.9534340500831604},{"id":"https://openalex.org/C28799612","wikidata":"https://www.wikidata.org/wiki/Q685437","display_name":"Hilbert transform","level":3,"score":0.6284497380256653},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.6086385846138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5700200200080872},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5277443528175354},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5138228535652161},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.481635719537735},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.4738888144493103},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4658981263637543},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4646351635456085},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4468626379966736},{"id":"https://openalex.org/C2778258933","wikidata":"https://www.wikidata.org/wiki/Q16918986","display_name":"Decomposition method (queueing theory)","level":2,"score":0.42931699752807617},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.41536566615104675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29861778020858765},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.26703131198883057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26499778032302856},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.1436934471130371},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09254413843154907},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.07260352373123169},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2766232","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2766232","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:71e3c6096558447e9cd1dac261d75f8f","is_oa":true,"landing_page_url":"https://doaj.org/article/71e3c6096558447e9cd1dac261d75f8f","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":"IEEE Access, Vol 5, Pp 24301-24331 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2766232","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2766232","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.75,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2521367153","display_name":null,"funder_award_id":"51475038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":95,"referenced_works":["https://openalex.org/W163612977","https://openalex.org/W232533688","https://openalex.org/W406261734","https://openalex.org/W1438045566","https://openalex.org/W1473852543","https://openalex.org/W1499683578","https://openalex.org/W1804238228","https://openalex.org/W1865303166","https://openalex.org/W1901822267","https://openalex.org/W1964701252","https://openalex.org/W1967079903","https://openalex.org/W1971509683","https://openalex.org/W1972125873","https://openalex.org/W1973048907","https://openalex.org/W1975921140","https://openalex.org/W1985437849","https://openalex.org/W1991946919","https://openalex.org/W1992933503","https://openalex.org/W1998264197","https://openalex.org/W2000982976","https://openalex.org/W2004971874","https://openalex.org/W2006816577","https://openalex.org/W2007221293","https://openalex.org/W2010354868","https://openalex.org/W2013108472","https://openalex.org/W2013367933","https://openalex.org/W2014632329","https://openalex.org/W2015544881","https://openalex.org/W2019900743","https://openalex.org/W2020646680","https://openalex.org/W2021497603","https://openalex.org/W2025166829","https://openalex.org/W2028119131","https://openalex.org/W2028497691","https://openalex.org/W2029956212","https://openalex.org/W2031423206","https://openalex.org/W2032187702","https://openalex.org/W2033559712","https://openalex.org/W2035960432","https://openalex.org/W2038832510","https://openalex.org/W2042934440","https://openalex.org/W2045245388","https://openalex.org/W2050225036","https://openalex.org/W2054622577","https://openalex.org/W2059307943","https://openalex.org/W2060304859","https://openalex.org/W2062231759","https://openalex.org/W2063466743","https://openalex.org/W2063483719","https://openalex.org/W2063530343","https://openalex.org/W2063792958","https://openalex.org/W2066980082","https://openalex.org/W2074821590","https://openalex.org/W2076639095","https://openalex.org/W2081190536","https://openalex.org/W2082936650","https://openalex.org/W2091884900","https://openalex.org/W2096125904","https://openalex.org/W2106665847","https://openalex.org/W2114537326","https://openalex.org/W2120390927","https://openalex.org/W2133320488","https://openalex.org/W2140554090","https://openalex.org/W2142246849","https://openalex.org/W2149706265","https://openalex.org/W2152602177","https://openalex.org/W2157000920","https://openalex.org/W2158814293","https://openalex.org/W2160097539","https://openalex.org/W2167484035","https://openalex.org/W2172070753","https://openalex.org/W2184047837","https://openalex.org/W2203044710","https://openalex.org/W2207789808","https://openalex.org/W2215711615","https://openalex.org/W2217684237","https://openalex.org/W2224640157","https://openalex.org/W2277064738","https://openalex.org/W2299617127","https://openalex.org/W2305066525","https://openalex.org/W2309394287","https://openalex.org/W2333462645","https://openalex.org/W2337164652","https://openalex.org/W2340764147","https://openalex.org/W2343409267","https://openalex.org/W2363608638","https://openalex.org/W2423553850","https://openalex.org/W2429547162","https://openalex.org/W2506416509","https://openalex.org/W2508196091","https://openalex.org/W2511744013","https://openalex.org/W2535387792","https://openalex.org/W2963396373","https://openalex.org/W6606628390","https://openalex.org/W6703692863"],"related_works":["https://openalex.org/W1963866720","https://openalex.org/W4242644833","https://openalex.org/W2118564157","https://openalex.org/W2002496381","https://openalex.org/W2384389642","https://openalex.org/W2356737465","https://openalex.org/W116012085","https://openalex.org/W2107880197","https://openalex.org/W2150546814","https://openalex.org/W2368562860"],"abstract_inverted_index":{"Effective":[0],"signal":[1,12,60,172],"processing":[2,13],"methods":[3,14,30],"are":[4,43,178,181],"essential":[5],"for":[6],"machinery":[7,175],"fault":[8,176],"diagnosis.":[9],"Most":[10],"conventional":[11,50],"lack":[15],"adaptability,":[16],"thus":[17,53],"being":[18,54],"unable":[19],"to":[20,56,58,171,183],"well":[21,146],"extract":[22,62],"the":[23,46,59,69],"embedded":[24],"meaningful":[25],"information.":[26],"Adaptive":[27],"mode":[28,83,96,115,118],"decomposition":[29,84,91],"have":[31],"excellent":[32],"adaptability":[33],"and":[34,42,66,78,120,125,136,150,167,169],"high":[35],"flexibility":[36],"in":[37,85,154,174],"describing":[38],"arbitrary":[39],"complicated":[40],"signals,":[41],"free":[44],"from":[45],"limitations":[47],"imposed":[48],"by":[49],"basis":[51],"expansion,":[52],"able":[55],"adapt":[57],"characteristics,":[61],"rich":[63],"characteristic":[64,105],"information,":[65],"therefore":[67],"reveal":[68],"underlying":[70],"physical":[71],"nature.":[72],"This":[73],"paper":[74],"presents":[75],"a":[76],"systematic":[77],"up-to-date":[79],"review":[80],"on":[81,141],"adaptive":[82,121],"two":[86],"major":[87],"topics,":[88],"i.e.,":[89],"mono-component":[90],"algorithms":[92],"(such":[93],"as":[94,145,147],"empirical":[95,111,142],"composition,":[97],"local":[98,104,122],"mean":[99],"decomposition,":[100,103,107,110,116,119,144],"intrinsic":[101],"time-scale":[102],"scale":[106],"Hilbert":[108,138],"vibration":[109],"wavelet":[112],"transform,":[113],"variational":[114],"nonlinear":[117],"iterative":[123],"filtering)":[124],"instantaneous":[126],"frequency":[127],"estimation":[128],"approaches":[129],"(including":[130],"Hilbert-transform-based":[131],"analytic":[132],"signal,":[133],"direct":[134],"quadrature,":[135],"normalized":[137],"transform":[139],"based":[140],"AM-FM":[143],"generalized":[148],"zero-crossing":[149],"energy":[151],"separation)":[152],"reported":[153],"more":[155],"than":[156],"80":[157],"representative":[158],"articles":[159],"published":[160],"since":[161],"1998.":[162],"Their":[163],"fundamental":[164],"principles,":[165],"advantages":[166],"disadvantages,":[168],"applications":[170],"analysis":[173],"diagnosis,":[177],"examined.":[179],"Examples":[180],"provided":[182],"illustrate":[184],"their":[185],"performance.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":38},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":9}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}