Cutter Tool Fault Detection Using a new Spectral Analysis Method

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F10%3A00174507" target="_blank" >RIV/68407700:21220/10:00174507 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Cutter Tool Fault Detection Using a new Spectral Analysis Method
Original language description
An investigation of milling end cutter tool fault monitoring based on dynamic force in the frequency domain and time-frequency domain is presented in this paper. A new data analysis technique, the Hilbert-Huang transform (HHT), is used to analyse this process in the frequency domain and time-frequency domain. This technique is also compared with the traditional Welch's method power spectra based on the Fourier transform in the frequency domain approach. The non-linearity and non-stationarity of the cutting process are taken into account. This method is designed to track the main peak in the frequency domain and time-frequency domain (HHT). The main tool break indicator is the appearance of new frequency as a result of the cutter tool fault. The HHT analysis technique covers the physical nature of the cutting process. The cutting process is not treated like a theoretical process, which is obvious by the oscillation of the frequency around the fundamental frequency of the cutter to
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JQ - Machinery and tools
OECD FORD branch
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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