{"id":"https://openalex.org/W4281853100","doi":"https://doi.org/10.1177/15501329221102077","title":"Method for predicting cutter remaining life based on multi-scale cyclic convolutional network","display_name":"Method for predicting cutter remaining life based on multi-scale cyclic convolutional network","publication_year":2022,"publication_date":"2022-05-01","ids":{"openalex":"https://openalex.org/W4281853100","doi":"https://doi.org/10.1177/15501329221102077"},"language":"en","primary_location":{"id":"doi:10.1177/15501329221102077","is_oa":true,"landing_page_url":"https://doi.org/10.1177/15501329221102077","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1177/15501329221102077","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081568043","display_name":"Tao Li","orcid":"https://orcid.org/0000-0002-6640-6711"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Li","raw_affiliation_strings":["Key Laboratory of Conveyance and Equipment, School of Mechatronics and Vehicle Engineering, Institute of Intelligent Manufacturing and Precision Machining, East China Jiaotong University, Ministry of Education, Nanchang, China"],"raw_orcid":"https://orcid.org/0000-0002-6640-6711","affiliations":[{"raw_affiliation_string":"Key Laboratory of Conveyance and Equipment, School of Mechatronics and Vehicle Engineering, Institute of Intelligent Manufacturing and Precision Machining, East China Jiaotong University, Ministry of Education, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102105324","display_name":"Yinquan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinquan Yu","raw_affiliation_strings":["Key Laboratory of Conveyance and Equipment, School of Mechatronics and Vehicle Engineering, Institute of Intelligent Manufacturing and Precision Machining, East China Jiaotong University, Ministry of Education, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Conveyance and Equipment, School of Mechatronics and Vehicle Engineering, Institute of Intelligent Manufacturing and Precision Machining, East China Jiaotong University, Ministry of Education, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102201314","display_name":"Chaoqiang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I74837319","display_name":"Jiangxi Agricultural University","ror":"https://ror.org/00dc7s858","country_code":"CN","type":"education","lineage":["https://openalex.org/I74837319"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoqiang Huang","raw_affiliation_strings":["School of Engineering, Jiangxi Agricultural University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Jiangxi Agricultural University, Nanchang, China","institution_ids":["https://openalex.org/I74837319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101422775","display_name":"Jinwen Yang","orcid":"https://orcid.org/0000-0001-8532-0932"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinwen Yang","raw_affiliation_strings":["Key Laboratory of Conveyance and Equipment, School of Mechatronics and Vehicle Engineering, Institute of Intelligent Manufacturing and Precision Machining, East China Jiaotong University, Ministry of Education, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Conveyance and Equipment, School of Mechatronics and Vehicle Engineering, Institute of Intelligent Manufacturing and Precision Machining, East China Jiaotong University, Ministry of Education, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050118034","display_name":"Yuanchang Zhong","orcid":"https://orcid.org/0000-0002-6934-9222"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanchang Zhong","raw_affiliation_strings":["School of Electrical Engineering, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101514778","display_name":"Yong Hao","orcid":"https://orcid.org/0000-0001-6126-3726"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Hao","raw_affiliation_strings":["Key Laboratory of Conveyance and Equipment, School of Mechatronics and Vehicle Engineering, Institute of Intelligent Manufacturing and Precision Machining, East China Jiaotong University, Ministry of Education, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Conveyance and Equipment, School of Mechatronics and Vehicle Engineering, Institute of Intelligent Manufacturing and Precision Machining, East China Jiaotong University, Ministry of Education, Nanchang, China","institution_ids":["https://openalex.org/I13985625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102105324"],"corresponding_institution_ids":["https://openalex.org/I13985625"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":0.821,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.70205296,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":"5","first_page":"155013292211020","last_page":"155013292211020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.98089998960495,"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":0.98089998960495,"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/T10188","display_name":"Advanced machining processes and optimization","score":0.977400004863739,"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":0.9731000065803528,"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/computer-science","display_name":"Computer science","score":0.8181694149971008},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8056080341339111},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6132885813713074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5808659791946411},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5428144931793213},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5281959772109985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5094731450080872},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47964388132095337},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4610210359096527},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34706369042396545}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8181694149971008},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8056080341339111},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6132885813713074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5808659791946411},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5428144931793213},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5281959772109985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5094731450080872},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47964388132095337},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4610210359096527},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34706369042396545},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1177/15501329221102077","is_oa":true,"landing_page_url":"https://doi.org/10.1177/15501329221102077","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:sae:intdis:v:18:y:2022:i:5:p:15501329221102077","is_oa":false,"landing_page_url":"https://journals.sagepub.com/doi/10.1177/15501329221102077","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:65516482e1a0453fae9c3b28a2e10326","is_oa":true,"landing_page_url":"https://doaj.org/article/65516482e1a0453fae9c3b28a2e10326","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":"International Journal of Distributed Sensor Networks, Vol 18 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1177/15501329221102077","is_oa":true,"landing_page_url":"https://doi.org/10.1177/15501329221102077","pdf_url":null,"source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G2215852261","display_name":"\u9ad8\u901f\u52a8\u8f66\u7ec4\u6c38\u78c1\u540c\u6b65\u7275\u5f15\u7535\u673a\u7535\u78c1\u70ed\u529b\u8026\u5408\u6761\u4ef6\u4e0b\u7684\u5931\u78c1\u673a\u7406\u7814\u7a76","funder_award_id":"52067006","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1481376396","https://openalex.org/W2014685668","https://openalex.org/W2064675550","https://openalex.org/W2119956477","https://openalex.org/W2157331557","https://openalex.org/W2171037402","https://openalex.org/W2321274876","https://openalex.org/W2488250916","https://openalex.org/W2544905596","https://openalex.org/W2586186134","https://openalex.org/W2601486059","https://openalex.org/W2726451741","https://openalex.org/W2746111230","https://openalex.org/W2769319337","https://openalex.org/W2792018332","https://openalex.org/W2883683208","https://openalex.org/W2884212008","https://openalex.org/W2885732902","https://openalex.org/W2893556909","https://openalex.org/W2904460913","https://openalex.org/W2985380938"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W2964954556","https://openalex.org/W3029198973","https://openalex.org/W3019910406"],"abstract_inverted_index":{"In":[0,70],"the":[1,5,9,20,30,33,40,47,64,71,86,95,110,122,130,135,161,174,177,193,198],"process":[2],"of":[3,23,32,98,112,139,165,176,197],"predicting":[4],"remaining":[6,34,48,123,166,194],"cutter":[7,35,49,124,167],"life,":[8],"deep-learning":[10],"method":[11,151,171],"such":[12],"as":[13],"convolutional":[14,67,74,80,140,154,178],"neural":[15,59,68,75,141,145,155,179],"network":[16,142,146,180],"does":[17],"not":[18],"consider":[19],"time":[21],"correlation":[22],"different":[24,90],"degradation":[25,87],"states,":[26],"which":[27,61],"directly":[28],"affects":[29],"accuracy":[31,164],"life":[36,50,125,168,196],"prediction.":[37,169],"To":[38],"extract":[39],"features":[41,103],"with":[42,134],"time-series":[43],"information":[44],"to":[45,84,93],"predict":[46],"more":[51],"effectively,":[52],"this":[53,184],"article":[54],"proposes":[55],"a":[56,77,188],"new":[57],"deep":[58],"network,":[60,76],"is":[62,82,114,126,157],"named":[63],"multi-scale":[65,72,78,107],"cyclic":[66,73,79,153],"network.":[69],"layer":[81],"constructed":[83],"memorize":[85],"state":[88],"at":[89],"moments":[91],"and":[92,109,119,143,163,186],"mine":[94],"timing":[96],"characteristics":[97],"multiple":[99],"sensor":[100],"data.":[101],"Multi-scale":[102],"are":[104],"extracted":[105],"through":[106,173],"convolution,":[108],"convergence":[111],"parameters":[113],"improved":[115],"by":[116],"layer-by-layer":[117],"training":[118],"fine-tuning.":[120],"Finally,":[121],"predicted":[127],"based":[128],"on":[129],"features.":[131],"The":[132],"comparison":[133],"published":[136],"prediction":[137,181],"methods":[138],"recurrent":[144],"models":[147],"proves":[148],"that":[149],"our":[150],"(multi-scale":[152],"network)":[156],"superior":[158],"in":[159,183],"improving":[160],"precision":[162],"This":[170],"breaks":[172],"limitations":[175],"model":[182],"field":[185],"provides":[187],"theoretical":[189],"basis":[190],"for":[191],"evaluating":[192],"service":[195],"cutter.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
