{"id":"https://openalex.org/W4319764893","doi":"https://doi.org/10.3390/s23041922","title":"A Gated Multiscale Multitask Learning Model Using Time-Frequency Representation for Health Assessment and Remaining Useful Life Prediction","display_name":"A Gated Multiscale Multitask Learning Model Using Time-Frequency Representation for Health Assessment and Remaining Useful Life Prediction","publication_year":2023,"publication_date":"2023-02-08","ids":{"openalex":"https://openalex.org/W4319764893","doi":"https://doi.org/10.3390/s23041922","pmid":"https://pubmed.ncbi.nlm.nih.gov/36850519"},"language":"en","primary_location":{"id":"doi:10.3390/s23041922","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23041922","pdf_url":"https://www.mdpi.com/1424-8220/23/4/1922/pdf?version=1676251718","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/4/1922/pdf?version=1676251718","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103217281","display_name":"Tong Wu","orcid":"https://orcid.org/0000-0003-3763-8035"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Wu","raw_affiliation_strings":["Department of Instrument and Electrical Engineering, Xiamen University, Xiamen 361102, China"],"raw_orcid":"https://orcid.org/0000-0003-3763-8035","affiliations":[{"raw_affiliation_string":"Department of Instrument and Electrical Engineering, Xiamen University, Xiamen 361102, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016859776","display_name":"Tengpeng Chen","orcid":"https://orcid.org/0000-0003-0404-031X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tengpeng Chen","raw_affiliation_strings":["Department of Instrument and Electrical Engineering, Xiamen University, Xiamen 361102, China","Shenzhen Research Institute of Xiamen University, Shenzhen 518000, China"],"raw_orcid":"https://orcid.org/0000-0003-0404-031X","affiliations":[{"raw_affiliation_string":"Department of Instrument and Electrical Engineering, Xiamen University, Xiamen 361102, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Shenzhen Research Institute of Xiamen University, Shenzhen 518000, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016859776"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.6627,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73574131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"4","first_page":"1922","last_page":"1922"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9781000018119812,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9638000130653381,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7119664549827576},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.671078085899353},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.6358745098114014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5403603911399841},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5139150619506836},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48052796721458435},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3477754592895508},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.2512698173522949},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10592743754386902}],"concepts":[{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7119664549827576},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.671078085899353},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.6358745098114014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5403603911399841},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5139150619506836},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48052796721458435},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3477754592895508},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2512698173522949},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10592743754386902},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23041922","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23041922","pdf_url":"https://www.mdpi.com/1424-8220/23/4/1922/pdf?version=1676251718","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36850519","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36850519","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9967891","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9967891","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9967891/pdf/sensors-23-01922.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:7d1cc3f94f9246d2a9e9e6eb6b91bafd","is_oa":true,"landing_page_url":"https://doaj.org/article/7d1cc3f94f9246d2a9e9e6eb6b91bafd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 4, p 1922 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/4/1922/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23041922","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23041922","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23041922","pdf_url":"https://www.mdpi.com/1424-8220/23/4/1922/pdf?version=1676251718","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.49000000953674316,"display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G1476635270","display_name":null,"funder_award_id":"JCYJ20190809162807421","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G3175637030","display_name":null,"funder_award_id":"61903314","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G6578716810","display_name":null,"funder_award_id":"2019J05020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7683285296","display_name":null,"funder_award_id":"61903314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7956081941","display_name":null,"funder_award_id":"2019J05020","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G8137771585","display_name":null,"funder_award_id":"JCYJ20190809162807421","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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319764893.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1988655998","https://openalex.org/W2053443947","https://openalex.org/W2142724780","https://openalex.org/W2327370144","https://openalex.org/W2551397753","https://openalex.org/W2566212543","https://openalex.org/W2603225712","https://openalex.org/W2741768983","https://openalex.org/W2765691677","https://openalex.org/W2807490715","https://openalex.org/W2898531359","https://openalex.org/W2913340405","https://openalex.org/W2917169831","https://openalex.org/W2942245950","https://openalex.org/W2943909972","https://openalex.org/W2963877604","https://openalex.org/W2966182616","https://openalex.org/W2973942754","https://openalex.org/W2984413472","https://openalex.org/W2998161426","https://openalex.org/W3005904504","https://openalex.org/W3011621977","https://openalex.org/W3089140114","https://openalex.org/W3110752823","https://openalex.org/W3118534614","https://openalex.org/W3163539034","https://openalex.org/W3164620929","https://openalex.org/W3167103167","https://openalex.org/W3168414501","https://openalex.org/W3184267170","https://openalex.org/W3212340323","https://openalex.org/W3217560493","https://openalex.org/W4285186957","https://openalex.org/W6756155867","https://openalex.org/W6770282137"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2961085424","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2803309984","https://openalex.org/W2963872552","https://openalex.org/W2237537322","https://openalex.org/W2055929693","https://openalex.org/W4224009465"],"abstract_inverted_index":{"Health":[0],"assessment":[1],"and":[2,38,80,115,137,148],"remaining":[3],"useful":[4],"life":[5],"prediction":[6],"are":[7],"usually":[8],"seen":[9],"as":[10,58],"separate":[11],"tasks":[12,25],"in":[13,35,62,97,110],"industrial":[14],"systems.":[15],"Some":[16],"multitask":[17,54],"models":[18],"use":[19],"common":[20],"features":[21,73,83],"to":[22,133],"handle":[23],"these":[24,48],"synchronously,":[26],"but":[27],"they":[28],"lack":[29,42],"the":[30,33,67,82,111,129,161,164],"usage":[31],"of":[32,43,74,163],"representation":[34],"different":[36,75,78,108],"scales":[37,76],"time-frequency":[39,68],"domain.":[40],"A":[41,88],"balance":[44],"also":[45],"exists":[46],"among":[47],"scales.":[49],"Therefore,":[50],"a":[51,85,98,134,139],"gated":[52,149],"multiscale":[53],"learning":[55],"model":[56,104,141],"known":[57],"GMM-Net":[59,70],"is":[60,101,105,119,126],"proposed":[61,130,165],"this":[63,122],"paper.":[64],"By":[65],"using":[66],"representation,":[69],"can":[71,94],"obtain":[72],"via":[77],"kernels":[79],"compose":[81],"by":[84],"gating":[86],"network.":[87],"detailed":[89],"loss":[90,113,136],"function":[91],"whose":[92],"weight":[93,118],"be":[95],"searched":[96],"smaller":[99,135,140],"scale":[100],"designed.":[102],"The":[103,157],"tested":[106],"with":[107,153],"weights":[109],"total":[112],"function,":[114],"an":[116],"optimal":[117,123],"found.":[120],"Using":[121],"weight,":[124],"it":[125],"observed":[127],"that":[128],"method":[131],"converges":[132],"has":[138],"size":[142],"than":[143],"long":[144],"short-term":[145],"memory":[146],"(LSTM)":[147],"recurrent":[150],"unit":[151],"(GRU)":[152],"less":[154],"training":[155],"time.":[156],"experiment":[158],"results":[159],"demonstrate":[160],"effectiveness":[162],"method.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}