{"id":"https://openalex.org/W4283317367","doi":"https://doi.org/10.1155/2022/3428715","title":"Fault Size Estimation of Bearings Using Multiple Decomposition Techniques with Artificial Neural Network","display_name":"Fault Size Estimation of Bearings Using Multiple Decomposition Techniques with Artificial Neural Network","publication_year":2022,"publication_date":"2022-06-17","ids":{"openalex":"https://openalex.org/W4283317367","doi":"https://doi.org/10.1155/2022/3428715"},"language":"en","primary_location":{"id":"doi:10.1155/2022/3428715","doi":"https://doi.org/10.1155/2022/3428715","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/3428715","pdf_url":"https://downloads.hindawi.com/journals/sp/2022/3428715.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2022/3428715.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038255887","display_name":"Suchi Mishra","orcid":"https://orcid.org/0000-0002-7485-7950","observed_orcids":["https://orcid.org/0000-0002-7485-7950"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Suchi Mishra","raw_affiliation_strings":["Department of Electronics and Instrumentation Engineering, SATI, Vidisha, India"],"raw_orcid":"https://orcid.org/0000-0002-7485-7950","affiliations":[{"raw_affiliation_string":"Department of Electronics and Instrumentation Engineering, SATI, Vidisha, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059411044","display_name":"Rahul Dubey","orcid":"https://orcid.org/0000-0002-9763-8005","observed_orcids":["https://orcid.org/0000-0002-9763-8005"]},"institutions":[{"id":"https://openalex.org/I53155696","display_name":"Madhav Institute of Technology & Science","ror":"https://ror.org/01pj5v964","country_code":"IN","type":"education","lineage":["https://openalex.org/I53155696"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rahul Dubey","raw_affiliation_strings":["Department of Electronics Engineering, MITS, Gwalior, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, MITS, Gwalior, India","institution_ids":["https://openalex.org/I53155696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017897621","display_name":"Preety D. Swami","orcid":"https://orcid.org/0000-0002-3758-3380","observed_orcids":["https://orcid.org/0000-0002-3758-3380"]},"institutions":[{"id":"https://openalex.org/I196622127","display_name":"Rajiv Gandhi Technical University","ror":"https://ror.org/03xmje391","country_code":"IN","type":"education","lineage":["https://openalex.org/I196622127"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Preety D. Swami","raw_affiliation_strings":["Department of Electronics and Communication Engineering, UIT RGPV, Bhopal, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, UIT RGPV, Bhopal, India","institution_ids":["https://openalex.org/I196622127"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101418950","display_name":"Alok Jain","orcid":"https://orcid.org/0000-0003-4057-4909","observed_orcids":["https://orcid.org/0000-0003-4057-4909"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alok Jain","raw_affiliation_strings":["Department of Electronics and Instrumentation Engineering, SATI, Vidisha, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Instrumentation Engineering, SATI, Vidisha, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038255887"],"corresponding_institution_ids":[],"apc_list":{"value":2000,"currency":"USD","value_usd":2000},"apc_paid":{"value":2000,"currency":"USD","value_usd":2000},"fwci":0.1708,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.33483733,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":1.0,"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":1.0,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.0,"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":0.0,"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/empirical-mode-decomposition","display_name":"empirical mode decomposition","score":0.746999979019165},{"id":"https://openalex.org/keywords/wavelet-decomposition","display_name":"wavelet decomposition","score":0.9789999723434448},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"wavelet packet decomposition","score":1.0},{"id":"https://openalex.org/keywords/vibration-signal-decomposition","display_name":"vibration signal decomposition","score":0.6480000019073486},{"id":"https://openalex.org/keywords/bearing-fault-classification","display_name":"bearing fault classification","score":0.7720000147819519},{"id":"https://openalex.org/keywords/inner-race-fault","display_name":"inner race fault","score":0.8379999995231628},{"id":"https://openalex.org/keywords/outer-race-fault","display_name":"outer race fault","score":0.9990000128746033},{"id":"https://openalex.org/keywords/high-frequency-noise-removal","display_name":"high-frequency noise removal","score":0.625}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.671501874923706},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.6681329607963562},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.6046964526176453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5503607392311096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.50743168592453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49949026107788086},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.44498729705810547},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.42956724762916565},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42930835485458374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4205201268196106},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4162181615829468},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41616347432136536},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3248105049133301},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.17636534571647644},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1687326431274414},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.10456258058547974},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07707774639129639},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.059329211711883545},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/2022/3428715","doi":"https://doi.org/10.1155/2022/3428715","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/3428715","pdf_url":"https://downloads.hindawi.com/journals/sp/2022/3428715.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/2022/3428715","doi":"https://doi.org/10.1155/2022/3428715","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/3428715","pdf_url":"https://downloads.hindawi.com/journals/sp/2022/3428715.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283317367.pdf","grobid_xml":"https://content.openalex.org/works/W4283317367.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1974290341","https://openalex.org/W1975843416","https://openalex.org/W1979223559","https://openalex.org/W1985002319","https://openalex.org/W1993480322","https://openalex.org/W2002068610","https://openalex.org/W2007221293","https://openalex.org/W2012120314","https://openalex.org/W2016324154","https://openalex.org/W2019505419","https://openalex.org/W2026109502","https://openalex.org/W2041404167","https://openalex.org/W2041935121","https://openalex.org/W2051483544","https://openalex.org/W2051812123","https://openalex.org/W2053347934","https://openalex.org/W2070182990","https://openalex.org/W2072378835","https://openalex.org/W2078347442","https://openalex.org/W2080578319","https://openalex.org/W2090055229","https://openalex.org/W2091287618","https://openalex.org/W2102211123","https://openalex.org/W2106319793","https://openalex.org/W2114235274","https://openalex.org/W2124554848","https://openalex.org/W2128351027","https://openalex.org/W2134559906","https://openalex.org/W2134603844","https://openalex.org/W2135261747","https://openalex.org/W2297890608","https://openalex.org/W2499307499","https://openalex.org/W2512949072","https://openalex.org/W2623330880","https://openalex.org/W2750146274","https://openalex.org/W2770416538","https://openalex.org/W2908105213","https://openalex.org/W2912412749","https://openalex.org/W2983637553","https://openalex.org/W3091352767","https://openalex.org/W3091901592","https://openalex.org/W3171746532","https://openalex.org/W3175754024","https://openalex.org/W4214605467","https://openalex.org/W4220894258","https://openalex.org/W4220918305","https://openalex.org/W4221108109","https://openalex.org/W4230121180","https://openalex.org/W4234687630"],"related_works":["https://openalex.org/W4415204806","https://openalex.org/W3092161242","https://openalex.org/W3081857328","https://openalex.org/W4255862730","https://openalex.org/W2111575564","https://openalex.org/W2305066525","https://openalex.org/W2007200746","https://openalex.org/W80816591","https://openalex.org/W6907759767","https://openalex.org/W4225934671"],"abstract_inverted_index":{"A":[0],"running":[1],"machine":[2,61,68,132],"generates":[3],"multi-frequency":[4,30],"vibration":[5],"signals":[6],"which":[7,124],"can":[8,171],"be":[9,172],"captured":[10],"by":[11,90,106],"accelerometers.":[12],"Empirical":[13],"mode":[14,79],"decomposition,":[15,17,37],"wavelet":[16,19,107,112],"and":[18,38,64,152,160],"packet":[20],"decomposition":[21,80,118],"are":[22,42],"the":[23,29,52,67,72,111,131,137,162],"commonly":[24],"used":[25,173],"methods":[26],"to":[27,130,135,166],"decompose":[28],"signal.":[31],"Quick":[32],"fault":[33,39,55,163],"classification,":[34],"accurate":[35],"signal":[36,87,96,121],"size":[40],"detection":[41],"still":[43],"a":[44,101],"problem":[45],"in":[46,57],"machines":[47],"with":[48],"rotary":[49,58],"components.":[50],"In":[51,71],"proposed":[53,157,169],"work,":[54],"diameter":[56,138,164],"part":[59],"of":[60,110,119,177],"is":[62,88,122],"detected":[63],"classified":[65],"using":[66],"learning":[69,133],"methods.":[70],"first":[73,92,98],"stage,":[74],"we":[75],"have":[76,144],"employed":[77],"empirical":[78],"(EMD)":[81],"for":[82,139,147,174],"high-frequency":[83,102],"noise":[84],"removal.":[85],"Residue":[86],"obtained":[89,114],"removing":[91],"IMF":[93,99],"from":[94,115],"base":[95],"considering":[97],"as":[100,126,179,181],"noisy":[103],"signal,":[104],"followed":[105],"decomposition.":[108],"Entropy":[109],"coefficient":[113],"3rd":[116],"level":[117],"residue":[120],"calculated":[123],"acts":[125],"an":[127],"input":[128],"parameter":[129],"techniques":[134],"determine":[136],"fault.":[140],"Three":[141],"different":[142,175],"sets":[143],"been":[145],"taken":[146],"inner":[148],"race,":[149,151],"outer":[150],"ball":[153],"race":[154],"correspondingly.":[155],"The":[156,168],"method":[158,170],"classifies":[159],"detects":[161],"up":[165],"99.5%.":[167],"types":[176],"continuous":[178],"well":[180],"discrete":[182],"wavelets.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2022-06-24T00:00:00"}
