{"id":"https://openalex.org/W2747276445","doi":"https://doi.org/10.1109/tim.2017.2735661","title":"Discriminative Deep Belief Networks with Ant Colony Optimization for Health Status Assessment of Machine","display_name":"Discriminative Deep Belief Networks with Ant Colony Optimization for Health Status Assessment of Machine","publication_year":2017,"publication_date":"2017-08-17","ids":{"openalex":"https://openalex.org/W2747276445","doi":"https://doi.org/10.1109/tim.2017.2735661","mag":"2747276445"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2017.2735661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2017.2735661","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5100762318","display_name":"Meng Ma","orcid":"https://orcid.org/0000-0003-2637-2788"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meng Ma","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027894205","display_name":"Chuang Sun","orcid":"https://orcid.org/0000-0001-6616-3791"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Sun","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779843","display_name":"Xuefeng Chen","orcid":"https://orcid.org/0000-0002-0130-3172"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Chen","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100762318"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":6.0985,"has_fulltext":false,"cited_by_count":141,"citation_normalized_percentile":{"value":0.97774639,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"66","issue":"12","first_page":"3115","last_page":"3125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9761000275611877,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/prognostics","display_name":"Prognostics","score":0.9447273015975952},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7985125780105591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.686834454536438},{"id":"https://openalex.org/keywords/ant-colony-optimization-algorithms","display_name":"Ant colony optimization algorithms","score":0.6815078258514404},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.6176977753639221},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5996520519256592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5869492292404175},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.5193485021591187},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4560359716415405},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4368099570274353},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43390369415283203},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4132826626300812},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.41271042823791504},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3508424162864685}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.9447273015975952},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7985125780105591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.686834454536438},{"id":"https://openalex.org/C40128228","wikidata":"https://www.wikidata.org/wiki/Q460851","display_name":"Ant colony optimization algorithms","level":2,"score":0.6815078258514404},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.6176977753639221},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5996520519256592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5869492292404175},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.5193485021591187},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4560359716415405},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4368099570274353},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43390369415283203},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4132826626300812},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.41271042823791504},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3508424162864685},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2017.2735661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2017.2735661","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1010384432","display_name":null,"funder_award_id":"2017T100740","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G1340482080","display_name":null,"funder_award_id":"2016M590937","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G3872657516","display_name":null,"funder_award_id":"XJJ2017019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4912068817","display_name":null,"funder_award_id":"51605366","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1591714781","https://openalex.org/W1982878030","https://openalex.org/W1998399571","https://openalex.org/W2013124207","https://openalex.org/W2020351623","https://openalex.org/W2023961611","https://openalex.org/W2027077002","https://openalex.org/W2033800551","https://openalex.org/W2042311265","https://openalex.org/W2045001586","https://openalex.org/W2051319254","https://openalex.org/W2063922127","https://openalex.org/W2064323378","https://openalex.org/W2076063813","https://openalex.org/W2096947102","https://openalex.org/W2100495367","https://openalex.org/W2110798204","https://openalex.org/W2114106396","https://openalex.org/W2116870707","https://openalex.org/W2120841219","https://openalex.org/W2136922672","https://openalex.org/W2145094598","https://openalex.org/W2152270473","https://openalex.org/W2157457477","https://openalex.org/W2160815625","https://openalex.org/W2163922914","https://openalex.org/W2182924040","https://openalex.org/W2187422466","https://openalex.org/W2199268906","https://openalex.org/W2219903032","https://openalex.org/W2250314463","https://openalex.org/W2258884143","https://openalex.org/W2269447449","https://openalex.org/W2324488761","https://openalex.org/W2334126800","https://openalex.org/W2557478438","https://openalex.org/W2562499222","https://openalex.org/W2611834958","https://openalex.org/W2997574889","https://openalex.org/W4229680264","https://openalex.org/W4249919990","https://openalex.org/W6676481782","https://openalex.org/W6681096077"],"related_works":["https://openalex.org/W2064630666","https://openalex.org/W3121598771","https://openalex.org/W2287713958","https://openalex.org/W2513801676","https://openalex.org/W2916681395","https://openalex.org/W3010338767","https://openalex.org/W1257380361","https://openalex.org/W2133034788","https://openalex.org/W3005559199","https://openalex.org/W2892911634"],"abstract_inverted_index":{"On-line":[0],"health":[1,10,32,56],"status":[2,33,57],"monitoring,":[3],"a":[4,28,62,67,87,166],"key":[5],"part":[6],"of":[7,58,74,81,114,135,171,194],"prognostics":[8],"and":[9,20,23,47,78,144],"management,":[11],"provides":[12],"various":[13],"benefits,":[14],"such":[15],"as":[16],"preventing":[17],"unexpected":[18],"failure":[19],"improving":[21],"safety":[22],"reliability.":[24],"In":[25],"this":[26,129,172],"paper,":[27],"data-driven":[29],"approach":[30],"for":[31],"assessment":[34],"is":[35,52,61,116,124,138,147,174,182,188],"presented.":[36],"A":[37],"novel":[38],"method":[39,187],"based":[40],"on":[41],"discriminative":[42,79],"deep":[43,68,75],"belief":[44,76],"networks":[45,77],"(DDBN)":[46],"ant":[48],"colony":[49],"optimization":[50],"(ACO)":[51],"used":[53],"to":[54,70,107,126],"predict":[55],"machine.":[59,180],"DDBN":[60,84,115,127,136],"new":[63],"paradigm":[64],"that":[65,162,184],"utilizes":[66],"architecture":[69],"combine":[71],"the":[72,112,121,133,145,151,185,192],"advantages":[73],"ability":[80],"back-propagation":[82],"strategy.":[83],"works":[85],"through":[86],"greedy":[88],"layer-by-layer":[89],"training":[90],"with":[91,177],"multiple":[92],"stacked":[93],"restricted":[94],"Boltzmann":[95],"machines,":[96],"which":[97,160],"preserves":[98],"information":[99],"well":[100],"when":[101],"embedding":[102],"features":[103],"from":[104],"high-dimensional":[105],"space":[106],"low-dimensional":[108],"space.":[109],"However,":[110],"selecting":[111],"parameters":[113],"quite":[117],"challenging.":[118],"To":[119,149],"address":[120],"problem,":[122],"ACO":[123],"introduced":[125],"in":[128,191],"paper.":[130],"By":[131],"optimization,":[132],"structure":[134],"model":[137,173],"determined":[139],"automatically":[140],"without":[141],"prior":[142],"knowledge":[143],"performance":[146,170],"enhanced.":[148],"evaluate":[150],"proposed":[152,186],"approach,":[153],"two":[154],"case":[155],"studies":[156],"were":[157],"carried":[158],"out,":[159],"shows":[161],"it":[163],"can":[164],"achieve":[165],"good":[167],"result.":[168],"The":[169],"also":[175],"compared":[176],"support":[178],"vector":[179],"It":[181],"concluded":[183],"very":[189],"promising":[190],"field":[193],"prognostics.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":32},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":16}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
