{"id":"https://openalex.org/W2970201289","doi":"https://doi.org/10.1109/icphm.2019.8819405","title":"A Novel Bearing Health Indicator Construction Method Based on Ensemble Stacked Autoencoder","display_name":"A Novel Bearing Health Indicator Construction Method Based on Ensemble Stacked Autoencoder","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2970201289","doi":"https://doi.org/10.1109/icphm.2019.8819405","mag":"2970201289"},"language":"en","primary_location":{"id":"doi:10.1109/icphm.2019.8819405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2019.8819405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Prognostics and Health Management (ICPHM)","raw_type":"proceedings-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/A5037950718","display_name":"Pengfei Lin","orcid":"https://orcid.org/0000-0002-0676-7128"},"institutions":[{"id":"https://openalex.org/I2801345734","display_name":"China Academy of Engineering Physics","ror":"https://ror.org/039vqpp67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2801345734"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Lin","raw_affiliation_strings":["Institude of Machinery Manufacturing Technology, China Academy of Engineering Physics, Mian Yang, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institude of Machinery Manufacturing Technology, China Academy of Engineering Physics, Mian Yang, P.R. China","institution_ids":["https://openalex.org/I2801345734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016806454","display_name":"Jizhong Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I2801345734","display_name":"China Academy of Engineering Physics","ror":"https://ror.org/039vqpp67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2801345734"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jizhong Tao","raw_affiliation_strings":["Institude of Machinery Manufacturing Technology, China Academy of Engineering Physics, Mian Yang, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institude of Machinery Manufacturing Technology, China Academy of Engineering Physics, Mian Yang, P.R. China","institution_ids":["https://openalex.org/I2801345734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2801345734"],"apc_list":null,"apc_paid":null,"fwci":4.0465,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.94253172,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9941999912261963,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/autoencoder","display_name":"Autoencoder","score":0.8442386984825134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7394720315933228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6227802038192749},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5991024374961853},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5326597094535828},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5245205163955688},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5093330144882202},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.49216240644454956},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48852312564849854},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45976629853248596},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.45816901326179504},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4565522074699402},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.43734613060951233},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.42628568410873413},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4199099540710449},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12811347842216492}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8442386984825134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7394720315933228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6227802038192749},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5991024374961853},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5326597094535828},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5245205163955688},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5093330144882202},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.49216240644454956},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48852312564849854},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45976629853248596},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.45816901326179504},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4565522074699402},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.43734613060951233},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.42628568410873413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4199099540710449},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12811347842216492},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icphm.2019.8819405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2019.8819405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Prognostics and Health Management (ICPHM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321536","display_name":"China Academy of Engineering Physics","ror":"https://ror.org/039vqpp67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1973665104","https://openalex.org/W2122066118","https://openalex.org/W2135449931","https://openalex.org/W2152074354","https://openalex.org/W2575828067","https://openalex.org/W2591055632","https://openalex.org/W2602428493","https://openalex.org/W2603225712","https://openalex.org/W2606800053","https://openalex.org/W2612904117","https://openalex.org/W2621614835","https://openalex.org/W2765256728","https://openalex.org/W2765305400","https://openalex.org/W2767031373","https://openalex.org/W2773549135","https://openalex.org/W2774432949","https://openalex.org/W2778685442","https://openalex.org/W2782699075","https://openalex.org/W2793062918","https://openalex.org/W2798854001","https://openalex.org/W2799972844","https://openalex.org/W2808622270","https://openalex.org/W2810292802","https://openalex.org/W2883525675","https://openalex.org/W2887729414","https://openalex.org/W2889139199","https://openalex.org/W2905386532","https://openalex.org/W2911187460","https://openalex.org/W2963454111","https://openalex.org/W3102094077","https://openalex.org/W6736412012","https://openalex.org/W6739879593","https://openalex.org/W6753597358"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2752972570","https://openalex.org/W4297051394","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W2909431601","https://openalex.org/W4294770367"],"abstract_inverted_index":{"In":[0],"the":[1,7,34,43,65,75,81,88,91,107],"area":[2],"of":[3,9,46,90],"data-driven":[4],"bearing":[5,23],"prognostic,":[6],"construction":[8,26],"health":[10,24,72,116],"indictor":[11,117],"from":[12,42,118],"condition":[13],"monitoring":[14],"data":[15,120],"is":[16,61,78,96],"important.":[17],"This":[18],"paper":[19],"presents":[20],"a":[21,51,58,70],"novel":[22],"indicator":[25],"method":[27,77,109],"based":[28],"on":[29],"ensemble":[30,36],"stacked":[31,37],"autoencoders.":[32],"Firstly,":[33],"proposed":[35,76,92,108],"autoencoders":[38],"extract":[39],"features":[40,68],"directly":[41],"FFT":[44],"results":[45,104],"raw":[47,119],"vibration":[48],"signals.":[49],"Then,":[50],"deep":[52],"neural":[53],"network":[54],"which":[55],"serves":[56],"as":[57],"non-linear":[59],"transformation":[60],"trained":[62],"to":[63,69],"map":[64],"multi-dimensional":[66],"learned":[67],"one-dimensional":[71],"indicator.":[73],"Finally,":[74],"validated":[79],"using":[80],"IEEE":[82],"PHM2012":[83],"Challenge":[84],"dataset.":[85],"To":[86],"show":[87],"superiority":[89],"method,":[93],"its":[94],"performance":[95],"evaluated":[97],"and":[98,112,125],"compared":[99],"with":[100],"other":[101],"methods.":[102],"The":[103],"demonstrate":[105],"that":[106],"can":[110],"automatically":[111],"effectively":[113],"build":[114],"high-quality":[115],"without":[121],"any":[122],"signal":[123],"processing":[124],"manual":[126],"feature":[127],"engineering.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}