{ "labelLang" : "hun", "responseDate" : "2024-03-28 19:34", "content" : { "otype" : "JournalArticle", "mtid" : 32351632, "status" : "VALIDATED", "published" : true, "unhandledTickets" : 0, "deleted" : false, "lastRefresh" : "2023-05-08T23:48:02.497+0000", "lastModified" : "2021-10-12T10:41:20.578+0000", "created" : "2021-10-12T10:41:20.206+0000", "creator" : { "otype" : "Admin", "mtid" : 10067876, "link" : "/api/admin/10067876", "label" : "MTMT API (MTMT API user, admin)", "familyName" : "MTMT", "givenName" : "API", "published" : true, "snippet" : true }, "lastDuplumOK" : "2021-10-12T13:19:01.094+0000", "lastDuplumSearch" : "2021-10-12T13:19:01.094+0000", "validated" : "2021-10-12T10:41:20.554+0000", "validator" : { "otype" : "Admin", "mtid" : 10067876, "link" : "/api/admin/10067876", "label" : "MTMT API (MTMT API user, admin)", "familyName" : "MTMT", "givenName" : "API", "published" : true, "snippet" : true }, "core" : false, "citation" : true, "publicationPending" : false, "type" : { "otype" : "PublicationType", "mtid" : 24, "link" : "/api/publicationtype/24", "label" : "Folyóiratcikk", "code" : 24, "otypeName" : "JournalArticle", "listPosition" : 1, "published" : true, "oldId" : 24, "snippet" : true }, "subType" : { "otype" : "SubType", "mtid" : 1268360, "link" : "/api/subtype/1268360", "label" : "Konferenciaközlemény (Folyóiratcikk)", "name" : "Konferenciaközlemény", "nameEng" : "Conference paper in journal", "docType" : { "otype" : "PublicationType", "mtid" : 24, "link" : "/api/publicationtype/24", "label" : "Folyóiratcikk", "code" : 24, "otypeName" : "JournalArticle", "listPosition" : 1, "published" : true, "oldId" : 24, "snippet" : true }, "listPosition" : 109, "published" : true, "oldId" : 1268360, "snippet" : true }, "category" : { "otype" : "Category", "mtid" : 1, "link" : "/api/category/1", "label" : "Tudományos", "published" : true, "oldId" : 1, "snippet" : true }, "languages" : [ { "otype" : "Language", "mtid" : 10002, "link" : "/api/language/10002", "label" : "Angol", "name" : "Angol", "nameEng" : "English", "published" : true, "oldId" : 2, "snippet" : true } ], "firstAuthor" : "Patange, Abhishek D.", "authorships" : [ { "otype" : "PersonAuthorship", "mtid" : 98363740, "link" : "/api/authorship/98363740", "label" : "Patange, Abhishek D. ✉", "listPosition" : 1, "share" : 0.5, "first" : true, "last" : false, "corresponding" : true, "familyName" : "Patange", "givenName" : "Abhishek D.", "authorTyped" : true, "editorTyped" : false, "otherTyped" : false, "type" : { "otype" : "AuthorshipType", "mtid" : 1, "link" : "/api/authorshiptype/1", "label" : "Szerző", "code" : 0, "published" : true, "oldId" : 0, "snippet" : true }, "published" : false, "snippet" : true }, { "otype" : "PersonAuthorship", "mtid" : 98363741, "link" : "/api/authorship/98363741", "label" : "Jegadeeshwaran, R.", "listPosition" : 2, "share" : 0.5, "first" : false, "last" : true, "corresponding" : false, "familyName" : "Jegadeeshwaran", "givenName" : "R.", "authorTyped" : true, "editorTyped" : false, "otherTyped" : false, "type" : { "otype" : "AuthorshipType", "mtid" : 1, "link" : "/api/authorshiptype/1", "label" : "Szerző", "code" : 0, "published" : true, "oldId" : 0, "snippet" : true }, "published" : false, "snippet" : true } ], "title" : "Review on tool condition classification in milling: A machine learning approach", "identifiers" : [ { "otype" : "PublicationIdentifier", "mtid" : 19746566, "link" : "/api/publicationidentifier/19746566", "label" : "DOI: 10.1016/j.matpr.2021.01.523", "source" : { "otype" : "PlainSource", "mtid" : 6, "link" : "/api/publicationsource/6", "label" : "DOI", "type" : { "otype" : "PublicationSourceType", "mtid" : 10001, "link" : "/api/publicationsourcetype/10001", "label" : "DOI", "mayHaveOa" : true, "published" : true, "snippet" : true }, "name" : "DOI", "nameEng" : "DOI", "linkPattern" : "https://doi.org/@@@", "publiclyVisible" : true, "published" : true, "oldId" : 6, "snippet" : true }, "idValue" : "10.1016/j.matpr.2021.01.523", "realUrl" : "https://doi.org/10.1016/j.matpr.2021.01.523", "published" : false, "snippet" : true }, { "otype" : "PublicationIdentifier", "mtid" : 19746565, "link" : "/api/publicationidentifier/19746565", "label" : "WoS: 000670132500027", "source" : { "otype" : "PlainSource", "mtid" : 1, "link" : "/api/publicationsource/1", "label" : "WoS", "type" : { "otype" : "PublicationSourceType", "mtid" : 10003, "link" : "/api/publicationsourcetype/10003", "label" : "Indexelő adatbázis", "mayHaveOa" : false, "published" : true, "snippet" : true }, "name" : "WoS", "nameEng" : "WoS", "linkPattern" : "https://www.webofscience.com/wos/woscc/full-record/@@@", "publiclyVisible" : true, "published" : true, "oldId" : 1, "snippet" : true }, "validState" : "IDENTICAL", "idValue" : "000670132500027", "realUrl" : "https://www.webofscience.com/wos/woscc/full-record/000670132500027", "published" : false, "snippet" : true }, { "otype" : "PublicationIdentifier", "mtid" : 19746567, "link" : "/api/publicationidentifier/19746567", "label" : "Scopus: 85112123810", "source" : { "otype" : "PlainSource", "mtid" : 3, "link" : "/api/publicationsource/3", "label" : "Scopus", "type" : { "otype" : "PublicationSourceType", "mtid" : 10003, "link" : "/api/publicationsourcetype/10003", "label" : "Indexelő adatbázis", "mayHaveOa" : false, "published" : true, "snippet" : true }, "name" : "Scopus", "linkPattern" : "http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@", "publiclyVisible" : true, "published" : true, "oldId" : 3, "snippet" : true }, "idValue" : "85112123810", "realUrl" : "http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85112123810", "published" : false, "snippet" : true } ], "journal" : { "otype" : "Journal", "mtid" : 10035080, "link" : "/api/journal/10035080", "label" : "MATERIALS TODAY: PROCEEDINGS 2214-7853", "pIssn" : "2214-7853", "reviewType" : "REVIEWED", "noIF" : true, "sciIndexed" : false, "scopusIndexed" : true, "lang" : "FOREIGN", "hungarian" : false, "published" : true, "oldId" : 10035080, "snippet" : true }, "volume" : "46", "firstPage" : "1106", "lastPage" : "1115", "firstPageOrInternalIdForSort" : "1106", "pageLength" : 10, "publishedYear" : 2021, "abstractText" : "A cutting tool sustains & preserves the economy of machining activity. Inclusion of unforeseen faults in the cutting tool affects machining accuracy, product quality, and overall efficiency. The efficient supervision of a cutting tool has become essential in modern manufacturing scenario. Health monitoring is a key aspect of prognostic maintenance. It facilitates monitoring of a cutting tool condition for changing in certain parameters, to diagnose the noteworthy change in it. In an era of Artificial Intelligence (AI), the applicability of Machine Learning (ML) in health monitoring is truly commanding as it examines the history and presents signatures for prediction of pre-defined classes. Moreover, advancements in instrumentations, signal processing, data science & analytics have captured the attention of researchers. This paper presents a review of health monitoring techniques applied for cutting tools particularly using vibration as a signal acquisition parameter and machine learning approach used for fault classification and prediction.& nbsp; (c) 2021 Elsevier Ltd. All rights reserved.& nbsp; Selection and peer-review under responsibility of the scientific committee of the 28th International Conference on Processing and Fabrication of Advanced Materials.", "subjects" : [ { "otype" : "Classification", "mtid" : 11027, "link" : "/api/classification/11027", "label" : "Anyagmérnökség", "published" : true, "snippet" : true } ], "keywords" : [ { "otype" : "Keyword", "mtid" : 12390, "link" : "/api/keyword/12390", "label" : "machine learning", "published" : true, "oldId" : 12390, "snippet" : true }, { "otype" : "Keyword", "mtid" : 1058741, "link" : "/api/keyword/1058741", "label" : "health monitoring", "published" : true, "oldId" : 1058741, "snippet" : true }, { "otype" : "Keyword", "mtid" : 1102632, "link" : "/api/keyword/1102632", "label" : "Vibration analysis", "published" : true, "oldId" : 1102632, "snippet" : true }, { "otype" : "Keyword", "mtid" : 1108491, "link" : "/api/keyword/1108491", "label" : "Cutting tool", "published" : true, "oldId" : 1108491, "snippet" : true }, { "otype" : "Keyword", "mtid" : 1140597, "link" : "/api/keyword/1140597", "label" : "Fault diagnosis", "published" : true, "oldId" : 1140597, "snippet" : true } ], "digital" : null, "printed" : null, "sourceYear" : 2021, "foreignEdition" : true, "foreignLanguage" : true, "fullPublication" : true, "conferencePublication" : true, "nationalOrigin" : null, "missingAuthor" : false, "oaType" : "NONE", "oaCheckDate" : "2023-05-09", "oaFree" : false, "citationCount" : 0, "citationCountUnpublished" : 0, "citationCountWoOther" : 0, "independentCitCountWoOther" : 0, "doiCitationCount" : 0, "wosCitationCount" : 0, "scopusCitationCount" : 0, "independentCitationCount" : 0, "unhandledCitationCount" : 0, "citingPubCount" : 0, "independentCitingPubCount" : 0, "unhandledCitingPubCount" : 0, "citedPubCount" : 1, "citedCount" : 1, "hasCitationDuplums" : false, "directInstitutesForSort" : "", "ownerAuthorCount" : 3, "ownerInstituteCount" : 16, "directInstituteCount" : 0, "authorCount" : 2, "contributorCount" : 0, "hasQualityFactor" : false, "link" : "/api/publication/32351632", "label" : "Patange Abhishek D. et al. Review on tool condition classification in milling: A machine learning approach. (2021) MATERIALS TODAY: PROCEEDINGS 2214-7853 46 1106-1115", "template" : "