Analysis of Cutter Wear Conditions in CNC Machine Tools with Wavelet Packet Transform

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dc.contributor.authorGöllü, Mehmet
dc.contributor.authorYılmaz, Alper
dc.contributor.authorBayrak, Gökay
dc.date.accessioned2026-02-12T21:02:48Z
dc.date.available2026-02-12T21:02:48Z
dc.date.issued2023
dc.departmentBursa Teknik Üniversitesi
dc.description14th International Conference on Electrical and Electronics Engineering, ELECO 2023 -- 2023-11-30 through 2023-12-02 -- Virtual, Bursa -- 197135
dc.description.abstractCutter wear and breakages in CNC machines lead to financial losses ranging from 5% to 10% of annual revenue for companies. Especially in the production of automotive and defense industry products, there are high expectations for precision and uninterrupted production within the scope of industry 4.0. Therefore, minimizing cutter breakages and monitoring their conditions in CNC machines is of great importance. In recent years, research using smart methods to solve these problems has increased. In this study, the current of the servo motor operating in a CNC machine is measured during its operation. The obtained current signals are decomposed using the wavelet packet transform (WPT), and an attempt is made to determine the status of the cutter on the relevant axis. The use of WPT is proposed to ensure high noise immunity. The developed system aims to provide operators with real-time notifications about the condition of cutters, enabling rapid intervention. Thus, the goal is to reduce additional costs resulting from cutter breakages and minimize downtime that negatively affects production continuity. The results obtained using WPT are expected to make a significant contribution to increasing efficiency and minimizing errors in the metalworking industry. © 2023 IEEE.
dc.identifier.doi10.1109/ELECO60389.2023.10416011
dc.identifier.isbn9798350360493
dc.identifier.scopus2-s2.0-85185829221
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ELECO60389.2023.10416011
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6526
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.snmzKA_Scopus_20260212
dc.subjectComputer control systems
dc.subjectCutting tools
dc.subjectLosses
dc.subjectMachine tools
dc.subjectMetal working
dc.subjectWavelet analysis
dc.subjectWavelet transforms
dc.subjectAnnual revenue
dc.subjectAutomotives
dc.subjectCNC machine
dc.subjectCNC machine tools
dc.subjectCondition
dc.subjectCutter wears
dc.subjectDefense Industry
dc.subjectFinancial loss
dc.subjectWavelet packet transforms
dc.subjectWear condition
dc.subjectWear of materials
dc.titleAnalysis of Cutter Wear Conditions in CNC Machine Tools with Wavelet Packet Transform
dc.typeConference Object

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