{"id":"https://openalex.org/W4405306242","doi":"https://doi.org/10.1109/indin58382.2024.10774311","title":"Compound Dimension Wavelet Network and Its Application in Bearings Fault Diagnosis Under Varying Speeds","display_name":"Compound Dimension Wavelet Network and Its Application in Bearings Fault Diagnosis Under Varying Speeds","publication_year":2024,"publication_date":"2024-08-18","ids":{"openalex":"https://openalex.org/W4405306242","doi":"https://doi.org/10.1109/indin58382.2024.10774311"},"language":"en","primary_location":{"id":"doi:10.1109/indin58382.2024.10774311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","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/A5110450377","display_name":"Q. Lin","orcid":"https://orcid.org/0009-0000-5114-6585"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijian Lin","raw_affiliation_strings":["Tsinghua University,Mechanical Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Mechanical Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656830","display_name":"Tianyang Wang","orcid":"https://orcid.org/0000-0002-7256-883X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyang Wang","raw_affiliation_strings":["Tsinghua University,Mechanical Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Mechanical Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021042757","display_name":"Zhaoye Qin","orcid":"https://orcid.org/0000-0003-3892-4594"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoye Qin","raw_affiliation_strings":["Tsinghua University,Mechanical Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Mechanical Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113692658","display_name":"Fulei Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fulei Chu","raw_affiliation_strings":["Tsinghua University,Mechanical Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Mechanical Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47558395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9843000173568726,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9837999939918518,"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/dimension","display_name":"Dimension (graph theory)","score":0.7393919229507446},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6653659343719482},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6649165153503418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5904208421707153},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.4597492516040802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4228597581386566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41531333327293396},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4136075973510742},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2222248911857605},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1607481837272644},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.05574220418930054},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.051026880741119385}],"concepts":[{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.7393919229507446},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6653659343719482},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6649165153503418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5904208421707153},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.4597492516040802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4228597581386566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41531333327293396},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4136075973510742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2222248911857605},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1607481837272644},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.05574220418930054},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.051026880741119385}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin58382.2024.10774311","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774311","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5600000023841858,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G7378546548","display_name":null,"funder_award_id":"52161135101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1971376693","https://openalex.org/W1975461858","https://openalex.org/W2060304859","https://openalex.org/W2072599024","https://openalex.org/W2112796928","https://openalex.org/W2516809705","https://openalex.org/W2891635869","https://openalex.org/W2919115771","https://openalex.org/W2964052309","https://openalex.org/W3122347867","https://openalex.org/W4317568713","https://openalex.org/W4321512532","https://openalex.org/W4383901100","https://openalex.org/W4388279883","https://openalex.org/W4388839491"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2035937180","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2575656761","https://openalex.org/W2065631063","https://openalex.org/W2378667342","https://openalex.org/W2594567802","https://openalex.org/W2363739414","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Neural":[0],"networks":[1,33],"have":[2],"been":[3],"widely":[4],"applied":[5],"in":[6,37],"the":[7,91,99,106,109,115,123,128,139],"field":[8],"of":[9,29,74,108,122,127,141],"bearing":[10],"fault":[11,68],"diagnosis.":[12],"However,":[13],"many":[14],"existing":[15],"studies":[16],"focus":[17],"on":[18,31,133],"bearings":[19,38,44,67],"with":[20,39,63],"constant":[21],"rotational":[22,50],"speeds,":[23],"and":[24,57,96,98],"there":[25],"is":[26,114,131],"a":[27,55,84,134],"lack":[28],"research":[30],"neural":[32,60],"for":[34,66],"diagnosing":[35],"faults":[36],"varying":[40,49],"speeds.":[41,51,72],"In":[42],"practice,":[43],"are":[45,80],"always":[46],"working":[47],"under":[48,70],"This":[52],"paper":[53],"proposes":[54],"one-dimensional":[56,76,110],"two-dimensional":[58,85,100],"hybrid":[59],"network":[61],"combined":[62],"wavelet":[64,120],"transform":[65],"diagnosis":[69],"variable":[71],"Instead":[73],"using":[75],"convolutional":[77,101,111],"kernels,":[78],"wavelets":[79],"employed":[81],"as":[82],"generating":[83],"feature":[86],"map":[87],"that":[88],"can":[89],"represent":[90],"relationship":[92],"between":[93],"signal":[94],"time":[95],"frequency,":[97],"layer":[102],"extracts":[103],"features":[104],"from":[105,138],"output":[107],"layer,":[112],"which":[113],"time-frequency":[116],"representation":[117],"obtained":[118],"through":[119],"transformation":[121],"signal.":[124],"The":[125],"feasibility":[126],"proposed":[129],"method":[130],"validated":[132],"publicly":[135],"available":[136],"dataset":[137],"University":[140],"Ottawa.":[142]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}