{"id":"https://openalex.org/W2746111230","doi":"https://doi.org/10.1109/tie.2017.2745473","title":"Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network","display_name":"Electric Locomotive Bearing Fault Diagnosis Using a Novel Convolutional Deep Belief Network","publication_year":2017,"publication_date":"2017-08-25","ids":{"openalex":"https://openalex.org/W2746111230","doi":"https://doi.org/10.1109/tie.2017.2745473","mag":"2746111230"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2017.2745473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2017.2745473","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-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/A5052658396","display_name":"Haidong Shao","orcid":"https://orcid.org/0000-0002-8018-1774"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haidong Shao","raw_affiliation_strings":["School of Aeronautics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019493589","display_name":"Hongkai Jiang","orcid":"https://orcid.org/0000-0001-6180-4641"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongkai Jiang","raw_affiliation_strings":["School of Aeronautics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-6180-4641","affiliations":[{"raw_affiliation_string":"School of Aeronautics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102730750","display_name":"Haizhou Zhang","orcid":"https://orcid.org/0009-0005-1321-8687"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haizhou Zhang","raw_affiliation_strings":["School of Aeronautics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101640761","display_name":"Tianchen Liang","orcid":"https://orcid.org/0000-0001-8805-9151"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianchen Liang","raw_affiliation_strings":["School of Aeronautics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Aeronautics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":36.1234,"has_fulltext":false,"cited_by_count":479,"citation_normalized_percentile":{"value":0.99925341,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"65","issue":"3","first_page":"2727","last_page":"2736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9966999888420105,"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/T11557","display_name":"Lubricants and Their Additives","score":0.9732000231742859,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.8175309896469116},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7097324132919312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6131847500801086},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5738174319267273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5144996643066406},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5136551260948181},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.5119458436965942},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4892289638519287},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4851992428302765},{"id":"https://openalex.org/keywords/electric-locomotive","display_name":"Electric locomotive","score":0.45326587557792664},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3475756049156189},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3186108469963074},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.16810381412506104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0750766396522522}],"concepts":[{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.8175309896469116},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7097324132919312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6131847500801086},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5738174319267273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5144996643066406},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5136551260948181},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.5119458436965942},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4892289638519287},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4851992428302765},{"id":"https://openalex.org/C2778469430","wikidata":"https://www.wikidata.org/wiki/Q625151","display_name":"Electric locomotive","level":2,"score":0.45326587557792664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3475756049156189},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3186108469963074},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.16810381412506104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0750766396522522},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2017.2745473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2017.2745473","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3474600331","display_name":null,"funder_award_id":"51475368","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":33,"referenced_works":["https://openalex.org/W1967879920","https://openalex.org/W1967904638","https://openalex.org/W2004039783","https://openalex.org/W2005081781","https://openalex.org/W2005184932","https://openalex.org/W2005523062","https://openalex.org/W2016781564","https://openalex.org/W2019779527","https://openalex.org/W2021644263","https://openalex.org/W2035398862","https://openalex.org/W2056425547","https://openalex.org/W2058983449","https://openalex.org/W2063492964","https://openalex.org/W2076063813","https://openalex.org/W2083520984","https://openalex.org/W2085862958","https://openalex.org/W2101946706","https://openalex.org/W2107789863","https://openalex.org/W2130325614","https://openalex.org/W2134502076","https://openalex.org/W2136922672","https://openalex.org/W2163922914","https://openalex.org/W2165720259","https://openalex.org/W2219903032","https://openalex.org/W2317595875","https://openalex.org/W2324488761","https://openalex.org/W2404620877","https://openalex.org/W2404692435","https://openalex.org/W2509453848","https://openalex.org/W2564938190","https://openalex.org/W2612554669","https://openalex.org/W6664347137","https://openalex.org/W6676071220"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W2585432886","https://openalex.org/W3103566983","https://openalex.org/W2165991108","https://openalex.org/W3029198973","https://openalex.org/W3082895349","https://openalex.org/W3004069267","https://openalex.org/W2565516711"],"abstract_inverted_index":{"Bearing":[0],"fault":[1,29],"diagnosis":[2],"is":[3,25,34,47,62,76,94],"of":[4,12,68],"significance":[5],"to":[6,36,53,64,78],"enhance":[7],"the":[8,41,55,66,69,91,98],"reliability":[9],"and":[10,39,101],"security":[11],"electric":[13,84],"locomotive.":[14],"In":[15],"this":[16],"paper,":[17],"a":[18,44],"novel":[19,45],"convolutional":[20],"deep":[21,71,103],"belief":[22],"network":[23],"(CDBN)":[24],"proposed":[26,74,92],"for":[27],"bearing":[28],"diagnosis.":[30],"First,":[31],"an":[32],"auto-encoder":[33],"used":[35],"compress":[37],"data":[38],"reduce":[40],"dimension.":[42],"Second,":[43],"CDBN":[46],"constructed":[48,70],"with":[49],"Gaussian":[50],"visible":[51],"units":[52],"learn":[54],"representative":[56],"features.":[57],"Third,":[58],"exponential":[59],"moving":[60],"average":[61],"employed":[63],"improve":[65],"performance":[67],"model.":[72],"The":[73,87],"method":[75,93],"applied":[77],"analyze":[79],"experimental":[80],"signals":[81],"collected":[82],"from":[83],"locomotive":[85],"bearings.":[86],"results":[88],"show":[89],"that":[90],"more":[95],"effective":[96],"than":[97],"traditional":[99],"methods":[100],"standard":[102],"learning":[104],"methods.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":49},{"year":2024,"cited_by_count":50},{"year":2023,"cited_by_count":65},{"year":2022,"cited_by_count":63},{"year":2021,"cited_by_count":67},{"year":2020,"cited_by_count":75},{"year":2019,"cited_by_count":77},{"year":2018,"cited_by_count":25}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}
