{"id":"https://openalex.org/W4205940476","doi":"https://doi.org/10.1007/s10489-021-02924-z","title":"Bayes-DCGRU with bayesian optimization for rolling bearing fault diagnosis","display_name":"Bayes-DCGRU with bayesian optimization for rolling bearing fault diagnosis","publication_year":2022,"publication_date":"2022-01-21","ids":{"openalex":"https://openalex.org/W4205940476","doi":"https://doi.org/10.1007/s10489-021-02924-z"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-021-02924-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-021-02924-z","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5100748299","display_name":"Jiaocheng Ma","orcid":"https://orcid.org/0000-0003-2966-7100"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ma Jiaocheng","raw_affiliation_strings":["Key Laboratory of Lifting Equipment\u2019s Safety Technology for State Market Regulation, Shenyang, 110819, China","School of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110819, China"],"raw_orcid":"https://orcid.org/0000-0003-2966-7100","affiliations":[{"raw_affiliation_string":"Key Laboratory of Lifting Equipment\u2019s Safety Technology for State Market Regulation, Shenyang, 110819, China","institution_ids":[]},{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081601502","display_name":"Shang Jinan","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shang Jinan","raw_affiliation_strings":["North Automatic Control Technology Institute, Taiyuan, 030000, China","School of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Automatic Control Technology Institute, Taiyuan, 030000, China","institution_ids":[]},{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110819, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101775302","display_name":"Zhao Xin","orcid":"https://orcid.org/0000-0002-6296-1945"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao Xin","raw_affiliation_strings":["Key Laboratory of Lifting Equipment\u2019s Safety Technology for State Market Regulation, Shenyang, 110819, China","Liaoning Provincial Institute of Safety Science, Shenyang, 110004, China","Key Laboratory of Lifting Equipment's Safety Technology for State Market Regulation, Shenyang, 110819, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Lifting Equipment\u2019s Safety Technology for State Market Regulation, Shenyang, 110819, China","institution_ids":[]},{"raw_affiliation_string":"Liaoning Provincial Institute of Safety Science, Shenyang, 110004, China","institution_ids":[]},{"raw_affiliation_string":"Key Laboratory of Lifting Equipment's Safety Technology for State Market Regulation, Shenyang, 110819, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043327084","display_name":"Zhongxiao Peng","orcid":"https://orcid.org/0000-0002-3059-5813"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong Peng","raw_affiliation_strings":["Shenyang Special Equipment Testing Research Institute, Shenyang, 110035, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Special Equipment Testing Research Institute, Shenyang, 110035, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100748299"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":2.913,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.90619733,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"52","issue":"10","first_page":"11172","last_page":"11183"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9930999875068665,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9517999887466431,"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/hyperparameter","display_name":"Hyperparameter","score":0.9485244750976562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8115934729576111},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.7319988012313843},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6727393865585327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6045364141464233},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.5939434766769409},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5933191180229187},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5810579657554626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5143826603889465},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.49814271926879883},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4632384181022644},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4596497714519501},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.45334291458129883},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4382038116455078},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42618072032928467},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4220670163631439},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34221574664115906},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3006976544857025}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.9485244750976562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115934729576111},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7319988012313843},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6727393865585327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6045364141464233},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.5939434766769409},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5933191180229187},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5810579657554626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5143826603889465},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.49814271926879883},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4632384181022644},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4596497714519501},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.45334291458129883},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4382038116455078},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42618072032928467},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4220670163631439},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34221574664115906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3006976544857025},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-021-02924-z","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-021-02924-z","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1600744878","https://openalex.org/W1967116388","https://openalex.org/W2002380256","https://openalex.org/W2007584825","https://openalex.org/W2064675550","https://openalex.org/W2522485430","https://openalex.org/W2595657631","https://openalex.org/W2736297679","https://openalex.org/W2744790985","https://openalex.org/W2799162093","https://openalex.org/W2806872289","https://openalex.org/W2914345141","https://openalex.org/W2943099062","https://openalex.org/W3008309516","https://openalex.org/W3015173390","https://openalex.org/W3031719078","https://openalex.org/W3033236487","https://openalex.org/W3045371493","https://openalex.org/W3081074546","https://openalex.org/W3081235973","https://openalex.org/W3099562783"],"related_works":["https://openalex.org/W3169687406","https://openalex.org/W3206613651","https://openalex.org/W2200000192","https://openalex.org/W4286902601","https://openalex.org/W2395916875","https://openalex.org/W2906178137","https://openalex.org/W2405673391","https://openalex.org/W3103707007","https://openalex.org/W2963001956","https://openalex.org/W2782093256"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
