{"id":"https://openalex.org/W4388630315","doi":"https://doi.org/10.3390/e25111539","title":"A Multi-Featured Factor Analysis and Dynamic Window Rectification Method for Remaining Useful Life Prognosis of Rolling Bearings","display_name":"A Multi-Featured Factor Analysis and Dynamic Window Rectification Method for Remaining Useful Life Prognosis of Rolling Bearings","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4388630315","doi":"https://doi.org/10.3390/e25111539","pmid":"https://pubmed.ncbi.nlm.nih.gov/37998231"},"language":"en","primary_location":{"id":"doi:10.3390/e25111539","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25111539","pdf_url":"https://www.mdpi.com/1099-4300/25/11/1539/pdf?version=1699863117","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","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/1099-4300/25/11/1539/pdf?version=1699863117","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086917524","display_name":"Cheng Peng","orcid":"https://orcid.org/0000-0002-1920-7488"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Peng","raw_affiliation_strings":["School of Automation, Central South University, Changsha 410083, China","School of Computer, Hunan University of Technology, Zhuzhou 412007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer, Hunan University of Technology, Zhuzhou 412007, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087232801","display_name":"Yuanyuan Zhao","orcid":"https://orcid.org/0000-0001-5298-2948"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Zhao","raw_affiliation_strings":["School of Computer, Hunan University of Technology, Zhuzhou 412007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Hunan University of Technology, Zhuzhou 412007, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029688473","display_name":"Changyun Li","orcid":"https://orcid.org/0000-0002-3959-0680"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changyun Li","raw_affiliation_strings":["School of Computer, Hunan University of Technology, Zhuzhou 412007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer, Hunan University of Technology, Zhuzhou 412007, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001933400","display_name":"Zhaohui Tang","orcid":"https://orcid.org/0000-0003-4132-4987"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohui Tang","raw_affiliation_strings":["School of Automation, Central South University, Changsha 410083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100711520","display_name":"Weihua Gui","orcid":"https://orcid.org/0000-0002-5337-6445"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Gui","raw_affiliation_strings":["School of Automation, Central South University, Changsha 410083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha 410083, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029688473"],"corresponding_institution_ids":["https://openalex.org/I49934816"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.2319,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47648014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"25","issue":"11","first_page":"1539","last_page":"1539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9975000023841858,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/computer-science","display_name":"Computer science","score":0.6887503862380981},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.6690956354141235},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6221228837966919},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.587040364742279},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4975793659687042},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.49359095096588135},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37026453018188477},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3514062762260437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28421539068222046},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2414521872997284},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2053298056125641},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18630027770996094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6887503862380981},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.6690956354141235},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6221228837966919},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.587040364742279},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4975793659687042},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.49359095096588135},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37026453018188477},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3514062762260437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28421539068222046},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2414521872997284},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2053298056125641},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18630027770996094},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e25111539","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25111539","pdf_url":"https://www.mdpi.com/1099-4300/25/11/1539/pdf?version=1699863117","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:37998231","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37998231","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10670744","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10670744","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10670744/pdf/entropy-25-01539.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":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:e42cdc5648b245d1b5b27a9e8334f0a9","is_oa":true,"landing_page_url":"https://doaj.org/article/e42cdc5648b245d1b5b27a9e8334f0a9","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":"Entropy, Vol 25, Iss 11, p 1539 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/e25111539","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e25111539","pdf_url":"https://www.mdpi.com/1099-4300/25/11/1539/pdf?version=1699863117","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G1033112384","display_name":null,"funder_award_id":"2023JJ50200","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G3882335966","display_name":null,"funder_award_id":"22A0390","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388630315.pdf"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W2142724780","https://openalex.org/W2155848441","https://openalex.org/W2294172420","https://openalex.org/W2328752661","https://openalex.org/W2463813940","https://openalex.org/W2741768983","https://openalex.org/W2773549135","https://openalex.org/W2774432949","https://openalex.org/W2791939925","https://openalex.org/W2800541751","https://openalex.org/W2953096252","https://openalex.org/W2971114125","https://openalex.org/W3017805480","https://openalex.org/W3037103608","https://openalex.org/W3039979186","https://openalex.org/W3045857695","https://openalex.org/W3113082919","https://openalex.org/W3130100540","https://openalex.org/W3163734136","https://openalex.org/W3170649048","https://openalex.org/W3194883501","https://openalex.org/W3208667612","https://openalex.org/W3212095893","https://openalex.org/W4206292187","https://openalex.org/W4211206835","https://openalex.org/W4226038281","https://openalex.org/W4226172863","https://openalex.org/W4229082741","https://openalex.org/W4313059808","https://openalex.org/W4393029216","https://openalex.org/W6791375994","https://openalex.org/W6808508757"],"related_works":["https://openalex.org/W2374901194","https://openalex.org/W2033512842","https://openalex.org/W2994319598","https://openalex.org/W4322734194","https://openalex.org/W3005535424","https://openalex.org/W4233600955","https://openalex.org/W2913665393","https://openalex.org/W2369695847","https://openalex.org/W3116237489","https://openalex.org/W1607054433"],"abstract_inverted_index":{"Currently,":[0],"the":[1,4,17,25,28,37,47,54,93,96,102,116,123,141,145,155,160,163,174,178,182,185,197,200],"research":[2],"on":[3,16,85,122],"predictions":[5],"of":[6,11,19,27,39,49,58,98,104,118,125,162,177,184,190,199],"remaining":[7,55],"useful":[8,56],"life":[9,57],"(RUL)":[10],"rotating":[12],"machinery":[13],"mainly":[14],"focuses":[15],"process":[18],"health":[20,78,119,146],"indicator":[21,79],"(HI)":[22],"construction":[23,80,117],"and":[24,69,81,115,139,180],"determination":[26],"first":[29,149],"prediction":[30,82,150,168],"time":[31,151],"(FPT).":[32],"In":[33],"complex":[34],"industrial":[35],"environments,":[36],"influence":[38],"environmental":[40],"factors":[41,111],"such":[42],"as":[43],"noise":[44],"may":[45],"affect":[46],"accuracy":[48],"RUL":[50,183],"predictions.":[51],"Accurately":[52],"estimating":[53],"bearings":[59],"plays":[60],"a":[61,77],"vital":[62],"role":[63],"in":[64,144,159],"reducing":[65],"costly":[66],"unscheduled":[67],"maintenance":[68],"increasing":[70],"machine":[71],"reliability.":[72],"To":[73],"overcome":[74],"these":[75],"problems,":[76],"method":[83,100,134],"based":[84,121],"multi-featured":[86],"factor":[87,105],"analysis":[88],"are":[89,101],"proposed.":[90],"Compared":[91],"with":[92],"existing":[94],"methods,":[95],"advantages":[97,198],"this":[99],"use":[103],"analysis,":[106],"to":[107,137,172],"mine":[108],"hidden":[109],"common":[110],"from":[112],"multiple":[113],"features,":[114],"indicators":[120],"maximization":[124],"variance":[126],"contribution":[127],"after":[128],"rotation.":[129],"A":[130,165],"dynamic":[131],"window":[132],"rectification":[133],"is":[135,170],"designed":[136],"reduce":[138],"weaken":[140],"stochastic":[142],"fluctuations":[143],"indicators.":[147],"The":[148,187],"was":[152],"determined":[153],"by":[154],"cumulative":[156],"gradient":[157],"change":[158],"trajectory":[161],"HI.":[164],"regression-based":[166],"adaptive":[167],"model":[169],"used":[171],"learn":[173],"evolutionary":[175],"trend":[176],"HI":[179],"estimate":[181],"bearings.":[186],"experimental":[188],"results":[189],"two":[191],"publicly":[192],"available":[193],"bearing":[194],"datasets":[195],"show":[196],"method.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
