{"id":"https://openalex.org/W4388280336","doi":"https://doi.org/10.1109/safeprocess58597.2023.10295931","title":"AE-LSTM-CNN Model based Tool Wear Monitoring","display_name":"AE-LSTM-CNN Model based Tool Wear Monitoring","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4388280336","doi":"https://doi.org/10.1109/safeprocess58597.2023.10295931"},"language":"en","primary_location":{"id":"doi:10.1109/safeprocess58597.2023.10295931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess58597.2023.10295931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","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/A5113174913","display_name":"Qingchao Bian","orcid":null},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingchao Bian","raw_affiliation_strings":["Nanjing Tech University,College of Electrical Engineering and Control Science,Nanjing,China","College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Tech University,College of Electrical Engineering and Control Science,Nanjing,China","institution_ids":["https://openalex.org/I134687103"]},{"raw_affiliation_string":"College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008644980","display_name":"Cunsong Wang","orcid":"https://orcid.org/0000-0003-0016-8578"},"institutions":[{"id":"https://openalex.org/I4210148486","display_name":"Jiangsu Industry Technology Research Institute","ror":"https://ror.org/044a9d018","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210148486"]},{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunsong Wang","raw_affiliation_strings":["Nanjing Tech University,Institute of Intelligent Manufacturing,Nanjing,China","Institute of Intelligent Manufacturing, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Tech University,Institute of Intelligent Manufacturing,Nanjing,China","institution_ids":["https://openalex.org/I4210148486","https://openalex.org/I134687103"]},{"raw_affiliation_string":"Institute of Intelligent Manufacturing, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083867418","display_name":"Cuimei Bo","orcid":"https://orcid.org/0000-0002-9357-0509"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuimei Bo","raw_affiliation_strings":["Nanjing Tech University,College of Electrical Engineering and Control Science,Nanjing,China","College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Tech University,College of Electrical Engineering and Control Science,Nanjing,China","institution_ids":["https://openalex.org/I134687103"]},{"raw_affiliation_string":"College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740622","display_name":"Hao Peng","orcid":"https://orcid.org/0000-0003-0458-5977"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Peng","raw_affiliation_strings":["Nanjing Tech University,College of Mechanical and Power Engineering,Nanjing,China","College of Mechanical and Power Engineering, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Tech University,College of Mechanical and Power Engineering,Nanjing,China","institution_ids":["https://openalex.org/I134687103"]},{"raw_affiliation_string":"College of Mechanical and Power Engineering, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350849","display_name":"Mingjie Zhang","orcid":"https://orcid.org/0000-0001-9404-0190"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyi Zhang","raw_affiliation_strings":["Nanjing Tech University,College of Electrical Engineering and Control Science,Nanjing,China","College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing Tech University,College of Electrical Engineering and Control Science,Nanjing,China","institution_ids":["https://openalex.org/I134687103"]},{"raw_affiliation_string":"College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5113174913"],"corresponding_institution_ids":["https://openalex.org/I134687103"],"apc_list":null,"apc_paid":null,"fwci":0.3995,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56758022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9998000264167786,"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/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.9944999814033508,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/feature-extraction","display_name":"Feature extraction","score":0.7069013118743896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7066694498062134},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5733690857887268},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5571408867835999},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5452091097831726},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5335424542427063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5196791291236877},{"id":"https://openalex.org/keywords/tool-wear","display_name":"Tool wear","score":0.5107929706573486},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.49776792526245117},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.4927816689014435},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4568316638469696},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition monitoring","score":0.42711877822875977},{"id":"https://openalex.org/keywords/machining","display_name":"Machining","score":0.3438616096973419},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16449731588363647}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7069013118743896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7066694498062134},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5733690857887268},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5571408867835999},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5452091097831726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5335424542427063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5196791291236877},{"id":"https://openalex.org/C2776450708","wikidata":"https://www.wikidata.org/wiki/Q6008734","display_name":"Tool wear","level":3,"score":0.5107929706573486},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.49776792526245117},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.4927816689014435},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4568316638469696},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.42711877822875977},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.3438616096973419},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16449731588363647},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/safeprocess58597.2023.10295931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/safeprocess58597.2023.10295931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1971874375","https://openalex.org/W2581433367","https://openalex.org/W2919115771","https://openalex.org/W2967000986","https://openalex.org/W2997905955","https://openalex.org/W3003767554","https://openalex.org/W3147061871","https://openalex.org/W3185580337","https://openalex.org/W3202397114","https://openalex.org/W4200318892","https://openalex.org/W4213365729","https://openalex.org/W4225996403","https://openalex.org/W4292260879","https://openalex.org/W4313574391"],"related_works":["https://openalex.org/W2803338891","https://openalex.org/W2043267898","https://openalex.org/W2112229447","https://openalex.org/W2036155574","https://openalex.org/W2063119839","https://openalex.org/W2053955898","https://openalex.org/W4319073490","https://openalex.org/W2077021924","https://openalex.org/W2183738894","https://openalex.org/W3199833777"],"abstract_inverted_index":{"Effective":[0],"tool":[1,12,71,105,149],"wear":[2,72,150],"monitoring":[3,18,43,73],"is":[4,15,75,100,120,151],"the":[5,9,19,23,31,35,38,49,83,104,108,112,116,124,145,162],"key":[6],"to":[7,47,56,102,127],"evaluate":[8],"degree":[10],"of":[11,22,34,40,52,85,131,139,148,166],"wear.":[13],"It":[14],"beneficial":[16],"for":[17],"normal":[20],"operation":[21],"five":[24],"axis":[25],"CNC":[26],"machining":[27],"machine":[28],"tool,":[29],"improving":[30],"processing":[32],"quality":[33],"products.":[36],"However,":[37],"most":[39],"existing":[41],"data-driven":[42],"methods":[44],"are":[45],"unable":[46],"meet":[48],"high":[50],"requirements":[51],"online":[53],"monitoring,":[54],"due":[55],"their":[57],"excessive":[58],"reliance":[59],"on":[60],"manual":[61],"feature":[62,94,129,137],"extraction":[63,95],"and":[64,110,164],"limited":[65],"model":[66],"computing":[67],"ability.":[68],"AE-LSTM-CNN":[69],"based":[70],"method":[74],"proposed":[76],"in":[77],"this":[78,167],"paper,":[79],"which":[80],"can":[81],"break":[82],"limit":[84],"internal":[86],"mutual":[87],"block":[88],"interference":[89],"with":[90],"simple":[91],"sequence":[92],"combination":[93],"models.":[96],"Fist,":[97],"wavelet":[98],"transform":[99],"adopted":[101],"reconstruct":[103],"signal,":[106],"reducing":[107],"dimension":[109],"denoising":[111],"time":[113],"series.":[114],"Then,":[115],"reconstructed":[117],"signal":[118,141],"data":[119],"respectively":[121],"fed":[122],"into":[123],"AE-LSTM":[125],"network":[126],"extract":[128,136],"vectors":[130,138],"temporal":[132],"signals.":[133],"CNN":[134],"networks":[135],"different":[140],"spatial":[142],"distributions.":[143],"Finally,":[144],"accurate":[146],"prediction":[147],"realized":[152],"through":[153],"full":[154],"connection":[155],"layer":[156],"output.":[157],"The":[158],"verification":[159],"results":[160],"indicate":[161],"rationality":[163],"accuracy":[165],"method.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}