{"id":"https://openalex.org/W4286377449","doi":"https://doi.org/10.1109/tim.2022.3193196","title":"Integration of a Novel Knowledge-Guided Loss Function With an Architecturally Explainable Network for Machine Degradation Modeling","display_name":"Integration of a Novel Knowledge-Guided Loss Function With an Architecturally Explainable Network for Machine Degradation Modeling","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4286377449","doi":"https://doi.org/10.1109/tim.2022.3193196"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3193196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3193196","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/A5017840210","display_name":"Tongtong Yan","orcid":"https://orcid.org/0000-0002-3757-0889"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongtong Yan","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-3757-0889","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004071122","display_name":"Yichu Fu","orcid":"https://orcid.org/0000-0002-6094-616X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichu Fu","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, P.R. China"],"raw_orcid":"https://orcid.org/0000-0002-6094-616X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038912826","display_name":"Ming Lu","orcid":"https://orcid.org/0000-0003-4024-4555"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Lu","raw_affiliation_strings":["Infrastructure and Cloud Services, SSG-IT, Lenovo, Beijing, China","Infrastructure &#x0026"],"raw_orcid":"https://orcid.org/0000-0003-4024-4555","affiliations":[{"raw_affiliation_string":"Infrastructure and Cloud Services, SSG-IT, Lenovo, Beijing, China","institution_ids":["https://openalex.org/I4210156165"]},{"raw_affiliation_string":"Infrastructure &#x0026","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091498234","display_name":"Zhi Li","orcid":"https://orcid.org/0000-0002-6565-254X"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhinong Li","raw_affiliation_strings":["Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nangchang, China","Ministry of Education, Key Laboratory of Nondestructive Testing, Nanchang Hangkong University, Nangchang, China"],"raw_orcid":"https://orcid.org/0000-0002-6565-254X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nangchang, China","institution_ids":["https://openalex.org/I927504317"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Nondestructive Testing, Nanchang Hangkong University, Nangchang, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091072755","display_name":"Changqing Shen","orcid":"https://orcid.org/0000-0002-5143-8366"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqing Shen","raw_affiliation_strings":["School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5143-8366","affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391562","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0003-4872-4860"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, P.R. China"],"raw_orcid":"https://orcid.org/0000-0003-4872-4860","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.335,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79402693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9922999739646912,"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/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9725000262260437,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/interpretability","display_name":"Interpretability","score":0.8563669919967651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5870276093482971},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5441234707832336},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5431004166603088},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.49403125047683716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.474672794342041},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.42648395895957947},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.423892080783844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42092758417129517},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4114953577518463},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3627644181251526},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27553674578666687},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.20796585083007812}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8563669919967651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5870276093482971},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5441234707832336},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5431004166603088},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.49403125047683716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.474672794342041},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.42648395895957947},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.423892080783844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42092758417129517},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4114953577518463},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3627644181251526},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27553674578666687},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.20796585083007812},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3193196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3193196","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":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G3500622281","display_name":null,"funder_award_id":"51975355","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1972125873","https://openalex.org/W2019505419","https://openalex.org/W2090668019","https://openalex.org/W2111072639","https://openalex.org/W2595206487","https://openalex.org/W2611834958","https://openalex.org/W2736577257","https://openalex.org/W2765256728","https://openalex.org/W2809925894","https://openalex.org/W2811138152","https://openalex.org/W2898735569","https://openalex.org/W2910981958","https://openalex.org/W2914776782","https://openalex.org/W2991579784","https://openalex.org/W2998335799","https://openalex.org/W3011785067","https://openalex.org/W3030249348","https://openalex.org/W3111914876","https://openalex.org/W3117204221","https://openalex.org/W3118534614","https://openalex.org/W3122347867","https://openalex.org/W3128151922","https://openalex.org/W3138978339","https://openalex.org/W3166506493","https://openalex.org/W3185016559","https://openalex.org/W3194318323","https://openalex.org/W3205634581","https://openalex.org/W3212733794","https://openalex.org/W3213921599","https://openalex.org/W3215227219","https://openalex.org/W4205353493","https://openalex.org/W4212949511","https://openalex.org/W4213228517","https://openalex.org/W4281636184"],"related_works":["https://openalex.org/W2782295999","https://openalex.org/W2162306796","https://openalex.org/W1970292246","https://openalex.org/W4247952185","https://openalex.org/W1895367623","https://openalex.org/W1642462315","https://openalex.org/W2015118744","https://openalex.org/W2005619368","https://openalex.org/W2065140124","https://openalex.org/W1879092539"],"abstract_inverted_index":{"The":[0,100,156],"suitability":[1],"of":[2,26,31,161,209,215],"a":[3,162,171],"health":[4],"index":[5],"(HI)":[6],"is":[7,95],"significant":[8],"to":[9,23,121,140,189,207],"improve":[10],"machine":[11,92,240],"diagnostic":[12],"and":[13,29,36,67,72,81,118,149,170,180,194,203,224],"prognostic":[14,51],"performance.":[15],"A":[16],"life":[17],"cycle":[18],"HI":[19,58],"can":[20,43],"be":[21,44],"applied":[22],"the":[24,32,126,133,143,153,191,197,210,216],"detection":[25],"incipient":[27],"faults":[28],"determination":[30],"first":[33,101],"prediction":[34],"time,":[35],"then":[37],"its":[38,221],"monotonic":[39],"curve":[40],"after":[41],"FPT":[42],"used":[45],"as":[46,139],"an":[47,87,234],"immediate":[48],"variable":[49],"for":[50,57,69,91,178,239],"analysis.":[52,73],"Although":[53],"existing":[54],"data-driven":[55],"methodologies":[56],"construction":[59],"have":[60,77,200],"considerable":[61],"nonlinear":[62],"mapping,":[63],"they":[64],"lack":[65],"transparency":[66,223],"interpretability":[68,225],"subsequent":[70],"studies":[71,186],"Moreover,":[74],"these":[75,85],"HIs":[76,199],"some":[78],"unknown":[79],"burrs":[80],"fluctuations.":[82],"To":[83],"overcome":[84],"limitations,":[86],"architecturally":[88],"explainable":[89],"network":[90,145,218,237],"degradation":[93,183,241],"modeling":[94],"proposed":[96,144,192,198,217],"in":[97,125,132,152,220],"this":[98],"paper.":[99],"three":[102,108],"hidden":[103,158,168],"layers":[104],"are":[105,187],"reformulated":[106],"from":[107],"advanced":[109],"signal":[110,230],"processing":[111,231],"technologies":[112,232],"including":[113],"Hilbert":[114],"transform,":[115],"squared":[116,134],"envelope,":[117],"Fourier":[119],"transform":[120],"map":[122],"temporal":[123],"signals":[124,131],"time":[127],"domain":[128,137],"into":[129],"demodulated":[130],"envelope":[135],"spectrum":[136],"so":[138],"directly":[141],"link":[142],"with":[146,166,233],"fault":[147],"frequencies":[148],"their":[150],"harmonics":[151],"frequency":[154],"domain.":[155],"fourth":[157],"layer":[159,165],"consists":[160],"full":[163,222],"connection":[164],"one":[167],"node":[169],"novel":[172],"knowledge-guided":[173],"loss":[174],"function":[175],"specifically":[176],"designed":[177],"exploring":[179],"extracting":[181],"informative":[182],"features.":[184],"Case":[185],"implemented":[188],"verify":[190],"methodology":[193],"show":[195],"that":[196],"more":[201],"stable":[202],"robust":[204],"performance":[205],"compared":[206],"state":[208],"art":[211],"methods.":[212],"Another":[213],"superiority":[214],"lies":[219],"by":[226],"effectively":[227],"integrating":[228],"physics-based":[229],"interpretable":[235],"artificial":[236],"structure":[238],"modeling.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
