{ "labelLang" : "hun", "responseDate" : "2024-03-29 08:09", "content" : { "otype" : "JournalArticle", "mtid" : 31487049, "status" : "VALIDATED", "published" : true, "comment" : "Funding Agency and Grant Number: Science and Technology Major Special Plan Project of Liaoning Province [2019JH1/10100019]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [U1808214]\n Funding text: This research work was supported by the Science and Technology Major Special Plan Project of Liaoning Province (Project No. 2019JH1/10100019) and National Natural Science Foundation of China (Grant No. U1808214).", "unhandledTickets" : 0, "deleted" : false, "lastRefresh" : "2022-07-26T15:47:12.669+0000", "lastModified" : "2020-08-29T07:39:03.767+0000", "created" : "2020-08-29T07:39:02.356+0000", "creator" : { "otype" : "Admin", "mtid" : 565, "link" : "/api/admin/565", "label" : "WoS import (admin)", "familyName" : "WoS", "givenName" : "import", "published" : true, "snippet" : true }, "lastDuplumSearch" : "2022-07-26T15:45:49.353+0000", "validated" : "2020-08-29T07:39:02.808+0000", "validator" : { "otype" : "Admin", "mtid" : 565, "link" : "/api/admin/565", "label" : "WoS import (admin)", "familyName" : "WoS", "givenName" : "import", "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" : 10000059, "link" : "/api/subtype/10000059", "label" : "Szakcikk (Folyóiratcikk)", "name" : "Szakcikk", "nameEng" : "Article", "docType" : { "otype" : "PublicationType", "mtid" : 24, "link" : "/api/publicationtype/24", "label" : "Folyóiratcikk", "code" : 24, "otypeName" : "JournalArticle", "listPosition" : 1, "published" : true, "oldId" : 24, "snippet" : true }, "listPosition" : 101, "published" : true, "oldId" : 10000059, "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" : "Ou, Jiayu", "authorships" : [ { "otype" : "PersonAuthorship", "mtid" : 92852700, "link" : "/api/authorship/92852700", "label" : "Ou, Jiayu", "listPosition" : 1, "share" : 0.0, "first" : true, "last" : false, "corresponding" : false, "familyName" : "Ou", "givenName" : "Jiayu", "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" : 92852701, "link" : "/api/authorship/92852701", "label" : "Li, Hongkun ✉", "listPosition" : 2, "share" : 0.0, "first" : false, "last" : false, "corresponding" : true, "familyName" : "Li", "givenName" : "Hongkun", "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" : 92852702, "link" : "/api/authorship/92852702", "label" : "Huang, Gangjin", "listPosition" : 3, "share" : 0.0, "first" : false, "last" : false, "corresponding" : false, "familyName" : "Huang", "givenName" : "Gangjin", "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" : 92852703, "link" : "/api/authorship/92852703", "label" : "Zhou, Qiang", "listPosition" : 4, "share" : 0.0, "first" : false, "last" : true, "corresponding" : false, "familyName" : "Zhou", "givenName" : "Qiang", "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" : "A Novel Order Analysis and Stacked Sparse Auto-Encoder Feature Learning Method for Milling Tool Wear Condition Monitoring", "identifiers" : [ { "otype" : "PublicationIdentifier", "mtid" : 17390862, "link" : "/api/publicationidentifier/17390862", "label" : "DOI: 10.3390/s20102878", "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 }, "validState" : "IDENTICAL", "idValue" : "10.3390/s20102878", "realUrl" : "https://doi.org/10.3390%2Fs20102878", "published" : false, "snippet" : true }, { "otype" : "PublicationIdentifier", "mtid" : 17390861, "link" : "/api/publicationidentifier/17390861", "label" : "WoS: 000539323700132", "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" : "http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=CustomerName&SrcApp=CustomerName&DestLinkType=FullRecord&KeyUT=@@@&DestApp=WOS", "publiclyVisible" : true, "published" : true, "oldId" : 1, "snippet" : true }, "validState" : "IDENTICAL", "idValue" : "000539323700132", "realUrl" : "http://gateway.isiknowledge.com/gateway/Gateway.cgi?&GWVersion=2&SrcAuth=CustomerName&SrcApp=CustomerName&DestLinkType=FullRecord&KeyUT=000539323700132&DestApp=WOS", "published" : false, "snippet" : true }, { "otype" : "PublicationIdentifier", "mtid" : 17390868, "link" : "/api/publicationidentifier/17390868", "label" : "Scopus: 85085155920", "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 }, "validState" : "IDENTICAL", "idValue" : "85085155920", "realUrl" : "http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85085155920", "published" : false, "snippet" : true }, { "otype" : "PublicationIdentifier", "mtid" : 17390869, "link" : "/api/publicationidentifier/17390869", "label" : "PubMed: 32438608", "source" : { "otype" : "PlainSource", "mtid" : 17, "link" : "/api/publicationsource/17", "label" : "PubMed", "type" : { "otype" : "PublicationSourceType", "mtid" : 10003, "link" : "/api/publicationsourcetype/10003", "label" : "Indexelő adatbázis", "mayHaveOa" : false, "published" : true, "snippet" : true }, "name" : "PubMed", "nameEng" : "PubMed", "linkPattern" : "http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=@@@&dopt=Abstract", "publiclyVisible" : true, "published" : true, "oldId" : 17, "snippet" : true }, "validState" : "IDENTICAL", "idValue" : "32438608", "realUrl" : "http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=32438608&dopt=Abstract", "published" : false, "snippet" : true } ], "journal" : { "otype" : "Journal", "mtid" : 10001371, "link" : "/api/journal/10001371", "label" : "SENSORS 1424-8220 1424-8220", "pIssn" : "1424-8220", "eIssn" : "1424-8220", "reviewType" : "REVIEWED", "noIF" : false, "sciIndexed" : true, "scopusIndexed" : true, "lang" : "FOREIGN", "hungarian" : false, "published" : true, "oldId" : 10001371, "snippet" : true }, "volume" : "20", "issue" : "10", "internalId" : "2878", "firstPageOrInternalIdForSort" : "2878", "pageLength" : 15, "publishedYear" : 2020, "abstractText" : "Milling is a main processing mode of the modern manufacturing industry, which seriously affects the quality and precision of the machined workpiece. However, it is difficult to monitor the tool wear condition in the continuous cutting process, especially under a variable speed condition. The existing tool wear condition monitoring methods only carry out analysis with a constant engine speed. Different from the general monitoring methods, this paper put forward a milling cutter wear condition monitoring method based on order analysis (OA) and stacked sparse autoencoder (SSAE). The methodology in the research include signals feature extraction and tool wear state monitoring and were designed to analyze the three-phase spindle current signals instead of the traditional force signals and vibration signals. The variable speed signals were transformed into angle domain stationary signals by order analysis, and the SSAE neural network was used to monitor the tool wear state. The proposed method was verified on the laboratory signals and the results showed a better performance than the other methods and a better applicability in actual industrial manufacturing.", "subjects" : [ { "otype" : "Classification", "mtid" : 11082, "link" : "/api/classification/11082", "label" : "Egyéb műszaki tudományok és technológiák", "published" : true, "snippet" : true }, { "otype" : "Classification", "mtid" : 10293, "link" : "/api/classification/10293", "label" : "Kémiai tudományok", "published" : true, "snippet" : true }, { "otype" : "Classification", "mtid" : 10880, "link" : "/api/classification/10880", "label" : "Villamosmérnöki és informatikai tudományok", "published" : true, "snippet" : true } ], "keywords" : [ { "otype" : "Keyword", "mtid" : 2098672, "link" : "/api/keyword/2098672", "label" : "order analysis", "published" : true, "snippet" : true }, { "otype" : "Keyword", "mtid" : 2098673, "link" : "/api/keyword/2098673", "label" : "stacked sparse autoencoder", "published" : true, "snippet" : true }, { "otype" : "Keyword", "mtid" : 2098674, "link" : "/api/keyword/2098674", "label" : "spindle current signals", "published" : true, "snippet" : true }, { "otype" : "Keyword", "mtid" : 2098675, "link" : "/api/keyword/2098675", "label" : "tool wear condition monitoring", "published" : true, "snippet" : true } ], "digital" : null, "printed" : null, "sourceYear" : 2020, "foreignEdition" : true, "foreignLanguage" : true, "fullPublication" : true, "conferencePublication" : false, "nationalOrigin" : null, "missingAuthor" : false, "oaType" : "GOLD", "oaCheckDate" : "2022-07-26", "oaFree" : false, "oaLink" : "http://www.mdpi.com/journal/sensors", "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, "ratings" : [ { "otype" : "SjrRating", "mtid" : 10738771, "link" : "/api/sjrrating/10738771", "label" : "sjr:Q2 (2020) Scopus - Analytical Chemistry SENSORS 1424-8220 1424-8220", "listPos" : 46, "rankValue" : 0.49, "type" : "journal", "ratingType" : { "otype" : "RatingType", "mtid" : 10002, "link" : "/api/ratingtype/10002", "label" : "sjr", "code" : "sjr", "published" : true, "snippet" : true }, "subject" : { "otype" : "ClassificationExternal", "mtid" : 1602, "link" : "/api/classificationexternal/1602", "label" : "Scopus - Analytical Chemistry", "published" : true, "oldId" : 1602, "snippet" : true }, "ranking" : "Q2", "calculation" : "DIRECT", "published" : true, "snippet" : true } ], "ratingsForSort" : "Q2", "hasCitationDuplums" : false, "directInstitutesForSort" : "", "ownerAuthorCount" : 2, "ownerInstituteCount" : 14, "directInstituteCount" : 0, "authorCount" : 4, "contributorCount" : 0, "hasQualityFactor" : true, "link" : "/api/publication/31487049", "label" : "Ou Jiayu et al. A Novel Order Analysis and Stacked Sparse Auto-Encoder Feature Learning Method for Milling Tool Wear Condition Monitoring. (2020) SENSORS 1424-8220 1424-8220 20 10", "template" : "