{"id":"https://openalex.org/W2121195424","doi":"https://doi.org/10.3390/e17095965","title":"Friction Signal Denoising Using Complete Ensemble EMD with Adaptive Noise and Mutual Information","display_name":"Friction Signal Denoising Using Complete Ensemble EMD with Adaptive Noise and Mutual Information","publication_year":2015,"publication_date":"2015-08-25","ids":{"openalex":"https://openalex.org/W2121195424","doi":"https://doi.org/10.3390/e17095965","mag":"2121195424"},"language":"en","primary_location":{"id":"doi:10.3390/e17095965","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e17095965","pdf_url":"https://www.mdpi.com/1099-4300/17/9/5965/pdf?version=1440494909","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"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/17/9/5965/pdf?version=1440494909","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100319561","display_name":"Chengwei Li","orcid":"https://orcid.org/0000-0002-7462-6415"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwei Li","raw_affiliation_strings":["School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009176588","display_name":"Liwei Zhan","orcid":"https://orcid.org/0000-0002-1229-3010"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liwei Zhan","raw_affiliation_strings":["School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058029939","display_name":"Liqun Shen","orcid":"https://orcid.org/0000-0003-1737-7448"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqun Shen","raw_affiliation_strings":["School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009176588"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":6.1339,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.96353266,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"17","issue":"9","first_page":"5965","last_page":"5979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9839000105857849,"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":0.9839000105857849,"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/T10244","display_name":"Chaos control and synchronization","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.9007865190505981},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6930251717567444},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6558405160903931},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.6057446002960205},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5998026728630066},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5757580995559692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5215687155723572},{"id":"https://openalex.org/keywords/matched-filter","display_name":"Matched filter","score":0.4729677736759186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45962536334991455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4404560923576355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4324015974998474},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.42961585521698},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3967283070087433},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32835400104522705},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.13571316003799438},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.05686339735984802}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.9007865190505981},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6930251717567444},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6558405160903931},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.6057446002960205},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5998026728630066},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5757580995559692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5215687155723572},{"id":"https://openalex.org/C50151734","wikidata":"https://www.wikidata.org/wiki/Q1759577","display_name":"Matched filter","level":3,"score":0.4729677736759186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45962536334991455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4404560923576355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4324015974998474},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.42961585521698},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3967283070087433},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32835400104522705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.13571316003799438},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.05686339735984802},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/e17095965","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e17095965","pdf_url":"https://www.mdpi.com/1099-4300/17/9/5965/pdf?version=1440494909","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":"pmh:oai:doaj.org/article:af567137f8d34b35a512c10b754384b7","is_oa":true,"landing_page_url":"https://doaj.org/article/af567137f8d34b35a512c10b754384b7","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 17, Iss 9, Pp 5965-5979 (2015)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/17/9/5965/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e17095965","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"}],"best_oa_location":{"id":"doi:10.3390/e17095965","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e17095965","pdf_url":"https://www.mdpi.com/1099-4300/17/9/5965/pdf?version=1440494909","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2121195424.pdf","grobid_xml":"https://content.openalex.org/works/W2121195424.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1506809288","https://openalex.org/W1965403160","https://openalex.org/W1973048907","https://openalex.org/W1983338102","https://openalex.org/W1995875735","https://openalex.org/W1998699093","https://openalex.org/W2005399390","https://openalex.org/W2007221293","https://openalex.org/W2009790801","https://openalex.org/W2009883020","https://openalex.org/W2035381272","https://openalex.org/W2059201955","https://openalex.org/W2074902057","https://openalex.org/W2082890203","https://openalex.org/W2085235552","https://openalex.org/W2098395403","https://openalex.org/W2103297114","https://openalex.org/W2106782121","https://openalex.org/W2120390927","https://openalex.org/W2125056386","https://openalex.org/W2146842127","https://openalex.org/W2150217932","https://openalex.org/W2161993436","https://openalex.org/W2189367262","https://openalex.org/W2481081394","https://openalex.org/W2537559174"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2081563414","https://openalex.org/W2363056446","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2076661204","https://openalex.org/W2380939102","https://openalex.org/W2163171661","https://openalex.org/W2079273826","https://openalex.org/W2436291487"],"abstract_inverted_index":{"During":[0],"the":[1,6,14,18,22,32,43,46,50,71,75,98,108,114,117,120,134,156,162],"measurement":[2],"of":[3,21,52,116,127],"friction":[4,76,157],"force,":[5],"measured":[7],"signal":[8,48,145,158],"generally":[9],"contains":[10],"noise.":[11],"To":[12,69],"remove":[13],"noise":[15,91],"and":[16,35,49,85,133],"preserve":[17],"important":[19],"features":[20],"signal,":[23,77,119],"a":[24,36],"hybrid":[25],"filtering":[26,100,115,121,146,155],"method":[27,151],"is":[28,42,104,123,152],"introduced":[29],"that":[30,141],"uses":[31],"mutual":[33],"information":[34],"new":[37,40],"waveform.":[38],"This":[39],"waveform":[41],"difference":[44],"between":[45],"original":[47],"sum":[51],"intrinsic":[53],"mode":[54,62],"functions":[55],"(IMFs),":[56],"which":[57],"are":[58,93],"obtained":[59],"by":[60,161],"empirical":[61],"decomposition":[63],"(EMD)":[64],"or":[65],"its":[66],"improved":[67],"versions.":[68],"evaluate":[70],"filter":[72,107],"performance":[73],"for":[74],"ensemble":[78,82,87,129],"EMD":[79,83,88],"(EEMD),":[80],"complementary":[81],"(CEEMD),":[84],"complete":[86],"with":[89,97],"adaptive":[90],"(CEEMDAN)":[92],"employed":[94],"in":[95,154],"combination":[96,103],"proposed":[99],"method.":[101],"The":[102],"used":[105],"to":[106],"synthesizing":[109],"signals":[110],"at":[111],"first.":[112],"For":[113],"simulation":[118],"effect":[122],"compared":[124],"under":[125],"conditions":[126],"different":[128],"number,":[130],"sampling":[131],"frequency,":[132],"input":[135],"signal-noise":[136],"ratio,":[137],"respectively.":[138],"Results":[139],"show":[140],"CEEMDAN":[142],"outperforms":[143],"other":[144],"methods.":[147],"In":[148],"particular,":[149],"this":[150],"successful":[153],"as":[159],"evaluated":[160],"de-trended":[163],"fluctuation":[164],"analysis":[165],"(DFA)":[166],"algorithm.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
