A New Method for Tool Condition Monitoring in Turning Operations Based on Fuzzy Clustering of Wavelet Coefficients

dc.creator	Jakovljević, Živana
dc.date.accessioned	2023-03-05T16:47:22Z
dc.date.available	2023-03-05T16:47:22Z
dc.date.issued	2004
dc.identifier.isbn	978-80-903421-4-9
dc.identifier.uri	https://machinery.mas.bg.ac.rs/handle/123456789/5209
dc.description.abstract	In automated manufacturing processes tool condition monitoring becomes one of the most important issues, which leads to the higher performance and reliability of the manufacturing system. In this paper a new method for tool condition monitoring based on hierarchical fuzzy clustering of features obtained by discrete wavelet transform of acquired signals correlated with cutting force is given. Proposed method is experimentally verified and some of the results of experiments are illustrated.	sr
dc.language.iso	en	sr
dc.rights	closedAccess	sr
dc.source	MATAR Praha 2004 international congress: machine tools, automation and robotics in mechanical engineering	sr
dc.subject	tool condition monitoring	sr
dc.title	A New Method for Tool Condition Monitoring in Turning Operations Based on Fuzzy Clustering of Wavelet Coefficients	sr
dc.type	conferenceObject	sr
dc.rights.license	ARR	sr
dc.citation.rank
dc.identifier.rcub	https://hdl.handle.net/21.15107/rcub_machinery_5209
dc.type.version	publishedVersion	sr

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