{"id":"https://openalex.org/W4306835731","doi":"https://doi.org/10.3390/s22207973","title":"A Fast Sparse Decomposition Based on the Teager Energy Operator in Extraction of Weak Fault Signals","display_name":"A Fast Sparse Decomposition Based on the Teager Energy Operator in Extraction of Weak Fault Signals","publication_year":2022,"publication_date":"2022-10-19","ids":{"openalex":"https://openalex.org/W4306835731","doi":"https://doi.org/10.3390/s22207973","pmid":"https://pubmed.ncbi.nlm.nih.gov/36298330"},"language":"en","primary_location":{"id":"doi:10.3390/s22207973","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207973","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7973/pdf?version=1666180025","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","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/1424-8220/22/20/7973/pdf?version=1666180025","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101809393","display_name":"Yan Baokang","orcid":"https://orcid.org/0000-0003-3158-7492"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baokang Yan","raw_affiliation_strings":["Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078716119","display_name":"Zhiqian Li","orcid":"https://orcid.org/0000-0002-2932-6798"},"institutions":[{"id":"https://openalex.org/I4210121573","display_name":"Wuchang University of Technology","ror":"https://ror.org/02mqsna37","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210121573"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqian Li","raw_affiliation_strings":["School of Artificial Intelligence, Wuchang University of Technology, Wuhan 430223, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Wuchang University of Technology, Wuhan 430223, China","institution_ids":["https://openalex.org/I4210121573"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057872020","display_name":"Fengqi Zhou","orcid":"https://orcid.org/0009-0006-9320-4062"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengqi Zhou","raw_affiliation_strings":["Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109585201","display_name":"Xu Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Lv","raw_affiliation_strings":["Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012500979","display_name":"Fengxing Zhou","orcid":"https://orcid.org/0009-0003-6041-7369"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fengxing Zhou","raw_affiliation_strings":["Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012500979"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.2426,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51852207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"22","issue":"20","first_page":"7973","last_page":"7973"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9952999949455261,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/energy-operator","display_name":"Energy operator","score":0.6523979902267456},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5933290123939514},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5601396560668945},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5471472144126892},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4998133182525635},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4710058271884918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4570811092853546},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44654351472854614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39402925968170166},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3453286290168762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22668716311454773},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.21704372763633728},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.13425782322883606},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12324151396751404},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10423371195793152}],"concepts":[{"id":"https://openalex.org/C19579662","wikidata":"https://www.wikidata.org/wiki/Q461145","display_name":"Energy operator","level":3,"score":0.6523979902267456},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5933290123939514},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5601396560668945},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5471472144126892},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4998133182525635},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4710058271884918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4570811092853546},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44654351472854614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39402925968170166},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3453286290168762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22668716311454773},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.21704372763633728},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.13425782322883606},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12324151396751404},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10423371195793152},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s22207973","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207973","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7973/pdf?version=1666180025","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:36298330","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36298330","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:86a265a9e2134e898ba1f789df760d8f","is_oa":true,"landing_page_url":"https://doaj.org/article/86a265a9e2134e898ba1f789df760d8f","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":"Sensors, Vol 22, Iss 20, p 7973 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/20/7973/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22207973","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":"Sensors; Volume 22; Issue 20; Pages: 7973","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9611008","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9611008","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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22207973","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22207973","pdf_url":"https://www.mdpi.com/1424-8220/22/20/7973/pdf?version=1666180025","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G3435236712","display_name":null,"funder_award_id":"51975430","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4641449298","display_name":null,"funder_award_id":"2019CFB133","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5039466179","display_name":null,"funder_award_id":"51975430","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G5297100427","display_name":null,"funder_award_id":"51975433","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5589040259","display_name":null,"funder_award_id":"51975433","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G969120041","display_name":null,"funder_award_id":"2019CFB133","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306835731.pdf","grobid_xml":"https://content.openalex.org/works/W4306835731.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1769467490","https://openalex.org/W1989339181","https://openalex.org/W1990141548","https://openalex.org/W2046658845","https://openalex.org/W2151693816","https://openalex.org/W2270404666","https://openalex.org/W2581694977","https://openalex.org/W2761196906","https://openalex.org/W2788684127","https://openalex.org/W2795207152","https://openalex.org/W2890561386","https://openalex.org/W2901835834","https://openalex.org/W2914426619","https://openalex.org/W2977961330","https://openalex.org/W3144990479","https://openalex.org/W3154428822","https://openalex.org/W3171003452","https://openalex.org/W4295084934","https://openalex.org/W6632346793"],"related_works":["https://openalex.org/W102301475","https://openalex.org/W2462122138","https://openalex.org/W1969001477","https://openalex.org/W2321462252","https://openalex.org/W2141962261","https://openalex.org/W2102521285","https://openalex.org/W2380059383","https://openalex.org/W2139713739","https://openalex.org/W2037548516","https://openalex.org/W2784016553"],"abstract_inverted_index":{"In":[0,29],"order":[1],"to":[2,38,49,67,104,151],"diagnose":[3],"an":[4],"incipient":[5],"fault":[6,77,91,132,154],"in":[7,26,71,175],"rotating":[8],"machinery":[9],"under":[10],"complicated":[11],"conditions,":[12],"a":[13,61,100],"fast":[14],"sparse":[15,94,107,142,144],"decomposition":[16,95,145],"based":[17,98,146],"on":[18,99,141,147],"the":[19,34,40,43,54,69,72,76,84,89,106,110,117,122,129,136,153,166,195],"Teager":[20],"energy":[21],"operator":[22],"(TEO)":[23],"is":[24,36,46],"proposed":[25,31,113,167],"this":[27,30],"paper.":[28],"method,":[32],"firstly,":[33],"TEO":[35,73,86,119],"employed":[37],"enhance":[39],"envelope":[41,87],"of":[42,83,109,124,131,177,186,194],"impulses,":[44,133],"which":[45,134],"more":[47,156,159],"sensitive":[48],"frequency":[50],"and":[51,58,88,158,162,172],"can":[52,120],"eliminate":[53],"low-frequency":[55],"harmonic":[56],"component":[57],"noise;":[59],"secondly,":[60],"smoothing":[62],"filtering":[63],"algorithm":[64],"was":[65,79,96,149],"adopted":[66],"suppress":[68],"noise":[70,126,193],"envelope;":[74],"thirdly,":[75],"signal":[78,138,155],"reconstructed":[80],"by":[81,192],"multiplication":[82],"filtered":[85,118],"original":[90],"signal;":[92],"finally,":[93],"used":[97,150],"generalized":[101],"S-transform":[102],"(GST)":[103],"obtain":[105],"representation":[108],"signal.":[111],"The":[112],"preprocessing":[114],"method":[115,168],"using":[116],"overcome":[121],"interference":[123],"high-frequency":[125],"while":[127],"maintaining":[128],"structure":[130],"helps":[135],"processed":[137],"perform":[139],"better":[140],"decomposition;":[143],"GST":[148],"represent":[152],"quickly":[157],"accurately.":[160],"Simulation":[161],"application":[163],"prove":[164],"that":[165,189],"has":[169],"good":[170],"accuracy":[171],"efficiency,":[173],"especially":[174],"conditions":[176],"very":[178],"low":[179],"SNR,":[180],"such":[181],"as":[182],"impulses":[183],"with":[184],"anSNR":[185],"-8.75":[187],"dB":[188],"are":[190],"submerged":[191],"same":[196],"amplitude.":[197]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}