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Please use this identifier to cite or link to this item: https://doi.org/10.1504/IJCAT.2007.012334
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dc.titleEmbedded tool condition monitoring for intelligent machining
dc.contributor.authorLi, H.
dc.contributor.authorChen, X.
dc.contributor.authorZeng, H.
dc.contributor.authorLi, X.
dc.date.accessioned2014-06-17T06:19:57Z
dc.date.available2014-06-17T06:19:57Z
dc.date.issued2007
dc.identifier.citationLi, H.,Chen, X.,Zeng, H.,Li, X. (2007). Embedded tool condition monitoring for intelligent machining. International Journal of Computer Applications in Technology 28 (1) : 74-81. ScholarBank@NUS Repository. <a href="https://doi.org/10.1504/IJCAT.2007.012334" target="_blank">https://doi.org/10.1504/IJCAT.2007.012334</a>
dc.identifier.issn09528091
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/60160
dc.description.abstractIn precision machining processes, major problems can be related to the conditions of the cutting tools. Online Tool Condition Monitoring (TCM) is hence of great industrial interest. An embedded Tool Condition Monitoring (eTCM) system is proposed to empower the machining system with adaptivity and intelligence. The eTCM takes aim at online detection of machining process abnormities such as tool breaking, chatter, etc. It employs multiple sensors including accelerometer, Acoustic Emission (AE) sensor and dynamometer to monitor an end milling process in an early phase study. The monitoring strategy, hardware architecture, monitoring algorithms and results are introduced and discussed in this paper. Copyright © 2007 Inderscience Enterprises Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1504/IJCAT.2007.012334
dc.sourceScopus
dc.subjectEmbedded system
dc.subjectIntelligent machining
dc.subjectMilling
dc.subjectTCM
dc.subjectTool condition monitoring
dc.typeArticle
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1504/IJCAT.2007.012334
dc.description.sourcetitleInternational Journal of Computer Applications in Technology
dc.description.volume28
dc.description.issue1
dc.description.page74-81
dc.description.codenIJCTE
dc.identifier.isiutNOT_IN_WOS
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