{"id":"https://openalex.org/W2537100124","doi":"https://doi.org/10.1109/rose.2005.1588338","title":"De-noising mechanical signals by hybrid thresholding","display_name":"De-noising mechanical signals by hybrid thresholding","publication_year":2006,"publication_date":"2006-02-06","ids":{"openalex":"https://openalex.org/W2537100124","doi":"https://doi.org/10.1109/rose.2005.1588338","mag":"2537100124"},"language":"en","primary_location":{"id":"doi:10.1109/rose.2005.1588338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose.2005.1588338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Workshop on Robotic Sensors: Robotic and Sensor Environments, 2005.","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/A5043256284","display_name":"Hoonbin Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hoonbin Hong","raw_affiliation_strings":["Department of Mechanical Engineering, University of Ottawa, Ottawa, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Ottawa, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101544215","display_name":"Ming Liang","orcid":"https://orcid.org/0000-0002-4453-6523"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ming Liang","raw_affiliation_strings":["Department of Mechanical Engineering, University of Ottawa, Ottawa, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Ottawa, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5043256284"],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":0.9097,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84246872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"65","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9909999966621399,"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/thresholding","display_name":"Thresholding","score":0.8738254308700562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.631615161895752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6305660605430603},{"id":"https://openalex.org/keywords/balanced-histogram-thresholding","display_name":"Balanced histogram thresholding","score":0.6016881465911865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5961050987243652},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5351243019104004},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.533710777759552},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5253583788871765},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.4877377450466156},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4689326584339142},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.4566347897052765},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4350528120994568},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.41721606254577637},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.41711288690567017},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30932214856147766},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16147303581237793},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.10260829329490662}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8738254308700562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.631615161895752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6305660605430603},{"id":"https://openalex.org/C202577368","wikidata":"https://www.wikidata.org/wiki/Q2576067","display_name":"Balanced histogram thresholding","level":5,"score":0.6016881465911865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5961050987243652},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5351243019104004},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.533710777759552},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5253583788871765},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.4877377450466156},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4689326584339142},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.4566347897052765},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4350528120994568},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.41721606254577637},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.41711288690567017},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30932214856147766},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16147303581237793},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.10260829329490662},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"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/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":1,"locations":[{"id":"doi:10.1109/rose.2005.1588338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose.2005.1588338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Workshop on Robotic Sensors: Robotic and Sensor Environments, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1552625989","https://openalex.org/W2021909145","https://openalex.org/W2146842127","https://openalex.org/W6633082886"],"related_works":["https://openalex.org/W1990592446","https://openalex.org/W2032558130","https://openalex.org/W2353864504","https://openalex.org/W2750730210","https://openalex.org/W4248730019","https://openalex.org/W2461888822","https://openalex.org/W2113070050","https://openalex.org/W2387104004","https://openalex.org/W3103566292","https://openalex.org/W1607924090"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,58],"hybrid":[4,81],"wavelet":[5],"thresholding":[6,82],"approach":[7,83,99],"for":[8],"reducing":[9],"white":[10],"Gaussian":[11],"noise":[12,105],"in":[13,44,91],"mechanical":[14,52],"fault":[15,108],"signals":[16],"to":[17,33,70,104],"offset":[18],"the":[19,35,41,45,48,72,79,86,94],"deficiencies":[20],"of":[21,47,51,93,111],"hard":[22],"and":[23,64,88,107],"soft":[24],"thresholding.":[25],"We":[26],"observed":[27],"that":[28],"it":[29],"is":[30,100],"not":[31],"appropriate":[32],"use":[34],"mean":[36],"squared":[37],"error":[38],"(MSE)":[39],"as":[40],"only":[42],"criterion":[43,60],"evaluation":[46],"de-noising":[49,73],"results":[50],"signals.":[53,113],"As":[54],"such,":[55],"we":[56],"proposed":[57,80,98],"combined":[59,95],"incorporating":[61],"both":[62,85],"MSE":[63],"false":[65],"identification":[66],"energy":[67],"(E/sub":[68],"false/)":[69],"evaluate":[71],"results.":[74],"In":[75],"our":[76],"simulation":[77],"studies,":[78],"outperforms":[84],"soft-":[87],"hard-thresholding":[89],"methods":[90],"terms":[92],"criterion.":[96],"The":[97],"then":[101],"successfully":[102],"applied":[103],"reduction":[106],"feature":[109],"extraction":[110],"bearing":[112]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
