Intelligent monitoring of Highly Dynamic Phenomena in Cutting Process Based on Wavelet Transform

dc.creator	Petrović, Petar B.
dc.creator	Jakovljević, Živana
dc.date.accessioned	2023-03-05T16:58:31Z
dc.date.available	2023-03-05T16:58:31Z
dc.date.issued	2005
dc.identifier.issn	1224-6077
dc.identifier.uri	https://machinery.mas.bg.ac.rs/handle/123456789/5211
dc.description.abstract	This paper presents a new generic approach to real-time monitoring of highly dynamical phenomena that appear in cutting process. Since recognition of such phenomena requires accurate time localization, wavelet transform was chosen as a formal platform for design of discriminative and reliable feature space based on acquired sensory data. Using cluster centers identified by one-pass fuzzy classification algorithm the phenomena of interest can be precisely and robustly recognized.	sr
dc.language.iso	en	sr
dc.rights	closedAccess	sr
dc.source	Scientific Bulletin of the POLITEHNICA University of Timisoara	sr
dc.subject	Cutting process monitoring	sr
dc.subject	Vibration Acceleration Measurement	sr
dc.subject	Pattern recognition	sr
dc.title	Intelligent monitoring of Highly Dynamic Phenomena in Cutting Process Based on Wavelet Transform	sr
dc.type	article	sr
dc.rights.license	ARR	sr
dc.citation.epage	92
dc.citation.issue	64
dc.citation.rank	M51
dc.citation.spage	87
dc.citation.volume	50
dc.identifier.rcub	https://hdl.handle.net/21.15107/rcub_machinery_5211
dc.type.version	publishedVersion	sr

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