{"id":"https://openalex.org/W2836334278","doi":"https://doi.org/10.1109/i2mtc.2018.8409565","title":"Convolutive blind separation of bearing faults using peak-based wavelet transform","display_name":"Convolutive blind separation of bearing faults using peak-based wavelet transform","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2836334278","doi":"https://doi.org/10.1109/i2mtc.2018.8409565","mag":"2836334278"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2018.8409565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102013273","display_name":"Guozheng Li","orcid":"https://orcid.org/0000-0001-9457-4424"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guozheng Li","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043079814","display_name":"Gang Tang","orcid":"https://orcid.org/0000-0001-5551-9158"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Tang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100779575","display_name":"Huaqing Wang","orcid":"https://orcid.org/0000-0001-5333-0829"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaqing Wang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086461425","display_name":"Lingli Cui","orcid":"https://orcid.org/0000-0003-2883-4018"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingli Cui","raw_affiliation_strings":["Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102013273"],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07072287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"69","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6778891682624817},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.6567064523696899},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6535690426826477},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.63017737865448},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5657591819763184},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5355700254440308},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5334843397140503},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4813045561313629},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4768613278865814},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46852371096611023},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4527358412742615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43015530705451965},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4123947322368622},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23592916131019592},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10026434063911438},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08389636874198914}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6778891682624817},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.6567064523696899},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6535690426826477},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.63017737865448},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5657591819763184},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5355700254440308},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5334843397140503},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4813045561313629},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4768613278865814},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46852371096611023},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4527358412742615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43015530705451965},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4123947322368622},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23592916131019592},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10026434063911438},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08389636874198914},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2018.8409565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1637922873","https://openalex.org/W1974647903","https://openalex.org/W1978945963","https://openalex.org/W2019502123","https://openalex.org/W2019505419","https://openalex.org/W2081190536","https://openalex.org/W2081420748","https://openalex.org/W2092563581","https://openalex.org/W2106100072","https://openalex.org/W2133147080","https://openalex.org/W2138915905","https://openalex.org/W2180445599","https://openalex.org/W2335074117","https://openalex.org/W3024247048"],"related_works":["https://openalex.org/W4245508182","https://openalex.org/W4233511069","https://openalex.org/W2046633342","https://openalex.org/W2370050053","https://openalex.org/W2372936409","https://openalex.org/W53954450","https://openalex.org/W2365287829","https://openalex.org/W2389645710","https://openalex.org/W2379553594","https://openalex.org/W2351059076"],"abstract_inverted_index":{"In":[0],"the":[1,25,35,44,49,54,73,100,120,126,130,156,166,176,181],"health":[2],"monitoring":[3],"of":[4,28,46,56,66,72,76,129,146,161],"rotating":[5,29],"machinery,":[6],"there":[7],"often":[8],"coexists":[9],"multiple":[10],"fault":[11,17,51,67,77,173,182],"sources;":[12],"thus":[13],"a":[14,85,136],"multi-source":[15],"composite":[16,50,177],"signal":[18,27,68,102,178],"will":[19],"be":[20],"collected":[21],"by":[22,34],"sensors.":[23],"Moreover,":[24],"vibration":[26],"machinery":[30],"is":[31,69,107,148],"usually":[32],"submerged":[33],"environmental":[36],"noise":[37],"in":[38,104,111],"practical":[39],"engineering":[40],"occasions.":[41],"These":[42],"increase":[43],"difficulty":[45],"separation":[47,88],"from":[48,155,175],"signal.":[52,138,158],"However,":[53],"effect":[55],"traditional":[57],"wavelet":[58,95,122],"analysis":[59],"method":[60,89],"for":[61],"denoising":[62],"to":[63,134,151],"enhance":[64],"features":[65,128],"limited,":[70],"because":[71],"energy":[74,103],"dispersion":[75],"signals.":[78],"To":[79],"overcome":[80],"these":[81],"problems,":[82],"we":[83],"propose":[84],"convolutive":[86,140],"blind":[87],"based":[90,143],"on":[91,144],"peak":[92],"transform":[93],"using":[94],"analysis.":[96],"With":[97],"this":[98],"strategy,":[99],"original":[101],"high":[105],"frequency":[106,113],"concentrated":[108],"into":[109],"that":[110,165],"low":[112],"band,":[114],"through":[115],"some":[116],"non-linear":[117],"transformations.":[118],"Next,":[119],"large":[121],"coefficients,":[123],"which":[124],"represent":[125],"main":[127],"signal,":[131],"are":[132],"retained":[133],"reconstruct":[135],"feature-enhanced":[137,157],"The":[139],"fixed-point":[141],"algorithm":[142],"maximization":[145],"non-Gaussianity,":[147],"carried":[149],"out":[150],"separate":[152,171],"source":[153,172],"signals":[154,174],"Experimental":[159],"results":[160],"rolling":[162],"bearing":[163],"show":[164],"proposed":[167],"strategy":[168],"can":[169],"effectively":[170],"and":[179],"detect":[180],"features.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}