{"id":"https://openalex.org/W2499355489","doi":"https://doi.org/10.1109/i2mtc.2016.7520471","title":"Sparsity-aware tight frame learning for rotary machine fault diagnosis","display_name":"Sparsity-aware tight frame learning for rotary machine fault diagnosis","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2499355489","doi":"https://doi.org/10.1109/i2mtc.2016.7520471","mag":"2499355489"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2016.7520471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2016.7520471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100399366","display_name":"Han Zhang","orcid":"https://orcid.org/0000-0003-2253-8605"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zhang","raw_affiliation_strings":["State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an, PR China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114139896","display_name":"Xuefeng Chen","orcid":"https://orcid.org/0000-0001-9963-7092"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Chen","raw_affiliation_strings":["State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an, PR China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000845394","display_name":"Zhaohui Du","orcid":"https://orcid.org/0000-0002-6736-4373"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Du","raw_affiliation_strings":["State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an, PR China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100762318","display_name":"Meng Ma","orcid":"https://orcid.org/0000-0003-2637-2788"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Ma","raw_affiliation_strings":["State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an, PR China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115589781","display_name":"Xiaoli Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoli Zhang","raw_affiliation_strings":["Key Laboratory of Road Construction Technology and Equipment of MOE, Chang'an University","State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Road Construction Technology and Equipment of MOE, Chang'an University","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an, PR China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4404,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47804486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9969000220298767,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6826929450035095},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6619405746459961},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6440349221229553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6070950627326965},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5972121953964233},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5643660426139832},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5313922166824341},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5178502202033997},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.45941007137298584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4331514239311218},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23599016666412354},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11824887990951538}],"concepts":[{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6826929450035095},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6619405746459961},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6440349221229553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6070950627326965},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5972121953964233},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5643660426139832},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5313922166824341},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5178502202033997},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.45941007137298584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4331514239311218},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23599016666412354},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11824887990951538},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2016.7520471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2016.7520471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Instrumentation and Measurement Technology Conference Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7200000286102295,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1571416372","https://openalex.org/W1591116419","https://openalex.org/W1591714781","https://openalex.org/W1829781029","https://openalex.org/W1975900269","https://openalex.org/W1976709621","https://openalex.org/W1983772857","https://openalex.org/W1993880634","https://openalex.org/W1994281301","https://openalex.org/W1999829977","https://openalex.org/W2012295579","https://openalex.org/W2015159867","https://openalex.org/W2020351623","https://openalex.org/W2033800551","https://openalex.org/W2060304859","https://openalex.org/W2066458068","https://openalex.org/W2092619343","https://openalex.org/W2149114759","https://openalex.org/W2325453973","https://openalex.org/W4235713725","https://openalex.org/W4236899502","https://openalex.org/W4238382378","https://openalex.org/W6820342072"],"related_works":["https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2116854923","https://openalex.org/W2750730210","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W4233939244","https://openalex.org/W2730764323","https://openalex.org/W3123806511","https://openalex.org/W1976727107"],"abstract_inverted_index":{"It":[0],"is":[1,39,85,150,161,171,187],"a":[2,26,64],"challenging":[3],"problem":[4,67],"to":[5,12,181],"find":[6],"sufficiently":[7],"sparse":[8,98,134,145],"approximation":[9],"dictionaries":[10],"tailed":[11],"machine":[13,33],"vibration":[14],"signals":[15,130],"with":[16,102,179],"different":[17],"failure":[18],"modes.":[19],"Therefore,":[20],"this":[21],"paper":[22],"describes":[23],"and":[24,78,92,131,153,176],"analyzes":[25],"novel":[27],"tight":[28,44,55,110,121,185],"frame":[29,45,56,122,186],"learning":[30,51],"scheme":[31],"for":[32],"fault":[34,83,158],"diagnosis.":[35],"The":[36,53],"objective":[37],"cost":[38],"evolved":[40],"by":[41,72],"integrating":[42],"the":[43,48,89,103,106,112,120,128,133,154,165,168,182,192],"constraint":[46],"into":[47],"popular":[49],"dictionary":[50,91],"model.":[52],"resulting":[54],"design":[57],"strategy":[58],"thus":[59,132],"could":[60,93,140],"be":[61,70,94,141],"formulated":[62],"as":[63],"nonconvex":[65],"optimization":[66],"which":[68],"can":[69],"solved":[71],"alternatively":[73],"implementing":[74],"hard":[75],"thresholding":[76],"operation":[77],"singular":[79],"value":[80],"decomposition.":[81],"Then,":[82],"information":[84,139,160],"sparsely":[86],"represented":[87],"over":[88],"learned":[90,126],"effectively":[95],"detected":[96],"through":[97,173,190],"pursuit":[99],"techniques.":[100],"Compared":[101],"state":[104],"of":[105,137,147,156,167,194],"art":[107],"analytic":[108,183],"wavelet":[109,184],"frame,":[111],"proposed":[113,169],"algorithm":[114],"has":[115],"two":[116],"main":[117],"advantages:":[118],"firstly,":[119],"filters":[123],"are":[124],"directly":[125],"from":[127],"noisy":[129],"intrinsic":[135],"structures":[136],"feature":[138,159],"profoundly":[142],"captured.":[143],"Secondly,":[144],"level":[146],"representation":[148],"coefficients":[149],"promoted":[151],"largely":[152],"process":[155],"extracting":[157],"highly":[162],"adaptive.":[163],"Moreover,":[164],"performance":[166],"framework":[170],"evaluated":[172],"numerical":[174],"experiments":[175],"its":[177],"superiority":[178],"respect":[180],"further":[188],"demonstrated":[189],"performing":[191],"diagnosis":[193],"an":[195],"engineering":[196],"gearbox.":[197]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
