Contemporary challenges in tool condition monitoring

• Autorzy: Jemielniak Krzysztof

Identyfikatory

DOI

10.5604/01.3001.0013.0448

• Języki publikacji: EN

Abstrakty

EN

Implementation of robust, reliable tool condition monitoring (TCM) systems in one of the preconditions of introducing of Industry 4.0. While there are a huge number of publications on the subject, most of them concern new, sophisticated methods of signal feature extraction and AI based methods of signal feature integration into tool condition information. Some aspects of TCM algorithms, namely signal segmentation, selection of useful signal features, laboratory measured tool wear as reference value of tool condition – are nowadays main obstacles in the broad applicationof TCM systems in the industry. These aspects are discussed in the paper, and some solutions of the problems are proposed.

Słowa kluczowe

EN

tool wear monitoring; metal cutting; signal processing; signal feature

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2019
• Tom: Vol. 19, No. 1
• Strony: 48--61
• Opis fizyczny: Bibliogr. 37 poz., rys.

Twórcy

autor

Jemielniak Krzysztof

• Warsaw University of Technology, Department of Automation and Metal Cutting, Poland

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).