{"id":"https://openalex.org/W3093550532","doi":"https://doi.org/10.1109/tase.2020.3028151","title":"Condition-Based Monitoring in Variable Machine Running Conditions Using Low-Level Knowledge Transfer With DNN","display_name":"Condition-Based Monitoring in Variable Machine Running Conditions Using Low-Level Knowledge Transfer With DNN","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3093550532","doi":"https://doi.org/10.1109/tase.2020.3028151","mag":"3093550532"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2020.3028151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2020.3028151","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5010024357","display_name":"Seetaram Maurya","orcid":"https://orcid.org/0000-0001-7124-9952"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Seetaram Maurya","raw_affiliation_strings":["IIT Kanpur, Kanpur, India"],"affiliations":[{"raw_affiliation_string":"IIT Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778999","display_name":"Vikas Singh","orcid":"https://orcid.org/0000-0001-8014-6939"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vikas Singh","raw_affiliation_strings":["IIT Kanpur, Kanpur, India"],"affiliations":[{"raw_affiliation_string":"IIT Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014147535","display_name":"Nishchal K. Verma","orcid":"https://orcid.org/0000-0001-8752-5616"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nishchal K. Verma","raw_affiliation_strings":["IIT Kanpur, Kanpur, India"],"affiliations":[{"raw_affiliation_string":"IIT Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077323266","display_name":"Chris K. Mechefske","orcid":"https://orcid.org/0000-0002-3509-0339"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chris K. Mechefske","raw_affiliation_strings":["Queen\u2019s University, Kingston, Canada","Queen's University, Kingston, Canada"],"affiliations":[{"raw_affiliation_string":"Queen\u2019s University, Kingston, Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"Queen's University, Kingston, Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010024357"],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":2.7952,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90636553,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"18","issue":"4","first_page":"1983","last_page":"1997"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9890999794006348,"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/T11372","display_name":"Hydraulic and Pneumatic Systems","score":0.9842000007629395,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6294792890548706},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5546061396598816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5517107844352722},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5085252523422241},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5048242211341858},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4944589138031006},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.46839332580566406},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition monitoring","score":0.4489263892173767},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.43979620933532715},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3308977782726288},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3261628746986389},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10468262434005737}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6294792890548706},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5546061396598816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5517107844352722},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5085252523422241},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5048242211341858},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4944589138031006},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.46839332580566406},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.4489263892173767},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.43979620933532715},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3308977782726288},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3261628746986389},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10468262434005737},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2020.3028151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2020.3028151","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W1491965087","https://openalex.org/W1510598017","https://openalex.org/W1597576211","https://openalex.org/W1603035390","https://openalex.org/W1977020076","https://openalex.org/W2016393776","https://openalex.org/W2019505419","https://openalex.org/W2031329301","https://openalex.org/W2032806448","https://openalex.org/W2035009350","https://openalex.org/W2039930961","https://openalex.org/W2043253481","https://openalex.org/W2067669061","https://openalex.org/W2072857564","https://openalex.org/W2079518405","https://openalex.org/W2080597521","https://openalex.org/W2100495367","https://openalex.org/W2101817936","https://openalex.org/W2119821739","https://openalex.org/W2142586459","https://openalex.org/W2149298154","https://openalex.org/W2149772057","https://openalex.org/W2153635508","https://openalex.org/W2154053567","https://openalex.org/W2158143121","https://openalex.org/W2163922914","https://openalex.org/W2165698076","https://openalex.org/W2219903032","https://openalex.org/W2248620004","https://openalex.org/W2290122975","https://openalex.org/W2344896815","https://openalex.org/W2395579298","https://openalex.org/W2440930599","https://openalex.org/W2469309222","https://openalex.org/W2511774531","https://openalex.org/W2546537777","https://openalex.org/W2556013418","https://openalex.org/W2591591405","https://openalex.org/W2595796352","https://openalex.org/W2731372149","https://openalex.org/W2737897717","https://openalex.org/W2737927763","https://openalex.org/W2740956509","https://openalex.org/W2743176011","https://openalex.org/W2763583057","https://openalex.org/W2771734292","https://openalex.org/W2789904726","https://openalex.org/W2795688948","https://openalex.org/W2889173716","https://openalex.org/W2899542986","https://openalex.org/W2903640311","https://openalex.org/W2904737228","https://openalex.org/W2911964244","https://openalex.org/W2957308685","https://openalex.org/W2971654674","https://openalex.org/W3022769603","https://openalex.org/W3034417921","https://openalex.org/W4239510810","https://openalex.org/W4247086295","https://openalex.org/W6600949241","https://openalex.org/W6608025168","https://openalex.org/W6661333666"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W374694393","https://openalex.org/W4282827391","https://openalex.org/W3165580226","https://openalex.org/W2391251536","https://openalex.org/W2886688859","https://openalex.org/W2362198218","https://openalex.org/W4386828785","https://openalex.org/W3135401135","https://openalex.org/W2019521278"],"abstract_inverted_index":{"Traditional":[0],"machine":[1,15],"learning":[2],"methods":[3,38],"assume":[4],"that":[5],"training":[6],"and":[7,19,92,156,180,224,262,266,283,303,378],"testing":[8],"data":[9,54,102,145,154,163,268],"must":[10],"be":[11,270],"from":[12,21,99,126],"the":[13,22,100,105,122,127,141,148,158,170,193,197,237,247,297,308,319,341,356],"same":[14,23],"running":[16,81,332],"condition":[17,75,326],"(MRC)":[18],"drawn":[20],"distribution.":[24],"However,":[25],"in":[26,41,46,55,79,89,192,214,220,236,246,292,330,355,363],"several":[27],"real-time":[28,187,364],"industrial":[29],"applications,":[30],"this":[31,58,306],"assumption":[32],"does":[33],"not":[34],"hold.":[35],"The":[36,83,107,130,165,366],"traditional":[37],"work":[39],"satisfactorily":[40],"steady-state":[42],"conditions":[43],"but":[44,274,287],"fail":[45],"time-varying":[47,53],"conditions.":[48,82,333],"In":[49,305],"order":[50],"to":[51,103,114,121,203,211,300,339],"utilize":[52],"variable":[56,80,331],"MRCs,":[57],"article":[59,350],"proposes":[60],"a":[61,68,276,312],"novel":[62,313],"low-level":[63,84,123,314],"knowledge":[64,315],"transfer":[65,316],"framework":[66,317],"using":[67,196,272,318],"deep":[69,320],"neural":[70,321],"network":[71,322],"(DNN)":[72],"model":[73],"for":[74,169,285,325],"monitoring":[76,206,327],"of":[77,249,279,290,328,343],"machines":[78,213,329],"features":[85,96,124,335],"have":[86,310,336],"been":[87,337,370],"extracted":[88,98,125,338],"time,":[90],"frequency,":[91],"time\u2013frequency":[93],"domains.":[94],"These":[95,186,229],"are":[97,111,208,259],"source":[101],"train":[104],"DNN.":[106],"trained":[108],"DNN-based":[109],"parameters":[110],"then":[112],"transferred":[113],"another":[115],"DNN,":[116],"which":[117,244,359],"is":[118,133,174,281,360],"modified":[119],"according":[120],"target":[128,357],"data.":[129],"proposed":[131,198,311,367],"approach":[132],"validated":[134,371],"through":[135],"three":[136,373],"case":[137,172,374],"studies":[138,173,375],"on:":[139],"1)":[140],"air":[142],"compressor":[143],"acoustic":[144,377],"set;":[146,155],"2)":[147],"Case":[149],"Western":[150],"Reserve":[151],"University":[152],"bearing":[153,162],"3)":[157],"intelligent":[159],"maintenance":[160],"system":[161],"set.":[164],"prediction":[166,194],"accuracy":[167],"obtained":[168],"above":[171],"as":[175,177],"high":[176],"100%,":[178,181],"93.07%,":[179],"respectively,":[182],"with":[183,346,372],"fivefold":[184],"cross-validation.":[185],"results":[188,245],"show":[189],"considerable":[190],"improvement":[191],"performance":[195],"approach.":[199],"<italic":[200],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[201],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Note":[202],"Practitioners</i>":[204],"\u2014Condition-based":[205],"schemes":[207],"widely":[209],"applicable":[210],"rotating":[212],"various":[215],"industries":[216,258],"since":[217],"they":[218],"operate":[219],"tough":[221],"working":[222],"situations,":[223],"consequently,":[225],"unpredicted":[226,230],"failures":[227,231],"occur.":[228],"may":[232],"cause":[233],"perilous":[234],"accidents":[235],"industries.":[238,293],"CBM":[239],"systems":[240],"prevent":[241],"such":[242],"failures,":[243],"reduction":[248],"equipment":[250],"damage":[251],"and,":[252],"hence,":[253],"increases":[254,296],"machinery":[255],"lifetime.":[256],"Modern":[257],"so":[260],"complex":[261],"generating":[263],"huge":[264],"data,":[265],"these":[267],"can":[269],"collected":[271],"sensors,":[273],"placing":[275],"large":[277],"number":[278],"sensors":[280,302],"difficult":[282],"expensive":[284],"different":[286],"similar":[288],"kinds":[289],"faults":[291,354],"This":[294,349],"also":[295,351],"cost":[298],"due":[299],"additional":[301,353],"circuits.":[304],"article,":[307],"authors":[309],"(DNN)-based":[323],"method":[324],"Low-level":[334],"reduce":[340],"computations":[342],"DNN":[344],"drastically":[345],"improved":[347],"performance.":[348],"considered":[352],"domain,":[358],"more":[361],"practical":[362],"applications.":[365],"scheme":[368],"has":[369],"on":[376],"vibration":[379],"signatures.":[380]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
