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Tytuł artykułu

Tool wear monitoring based on wavelet transform of raw acoustic emission signal

Identyfikatory
Warianty tytułu
PL
Monitorowanie zużycia ostrza z zastosowaniem transformaty falkowej surowego sygnału emisji akustycznej
Języki publikacji
EN
Abstrakty
EN
The paper presents a new efficient method of evaluation of relevancy of signal features extracted from the wavelet coefficients of raw AE signal while rough turning of Inconel 625. Several meaningful signal features were automatically extracted from band pass signals using 22 different wavelets and used for tool condition monitoring. Accuracy of tool condition evaluation was employed as main criterion for selection of the most indicative wavelets and decomposition level of Discreet Wavelet Transform (DWT) and Wavelet Packet Transform (WPT).
PL
W artykule przedstawiono analizę przydatności miar sygnałów pasmowych uzyskanych za pomocą Transformaty Falkowej (WT). Zastosowano Dyskretną Transformatę Falkową (DWT) oraz Pakietową Transformatę Falkową (WPT). Do wykonania WT użyto 22 typy falek. Analizie poddano surowy sygnał emisji akustycznej rejestrowany podczas toczenia zgrubnego Inconelu 625. Automatycznie selekcjonowane miary sygnałów pasmowych użyto do monitorowania stanu narzędzia. Dokładność oszacowania zużycia ostrza na ich podstawie stanowiła kryterium oceny przydatności poszczególnych falek i transformaty falkowej.
Rocznik
Strony
5--17
Opis fizyczny
Bibliogr. 23 poz., fot., rys.
Twórcy
Bibliografia
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  • [18] W. LI., W. GONGA, T. OBIKAWA, T. SHIRAKASHI: A method of recognizing tool-wear states based on a fast algorithm of wavelet transform. Journal of Materials Processing Technology, 170 (2005), 374-380.
  • [19] K. JEMIELNIAK: Some aspects of acoustic emission signal pre-processing. Journal of Materials Processing Technology, 109 (2001), 242-247.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BOS5-0025-0001
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