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Application of wavelet transform technique to detect tool failure in turning operations

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Abstract

In this study, discrete wavelet decomposition is used to detect tool failure and to conduct the de-noising of the cutting force signal in a turning process. As a result of de-noising, the wavelet de-noising method is more effective than the FFT filtering technique that is typically used. An analysis of the approximation and the detail coefficients of the cutting force signal confirmed that the onset time of tool failure and chatter vibration was successfully detected.

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Authors and Affiliations

  1. School of Mechanical Engineering, Pukyong National University, San 100, Yongdang-Dong, Nam-Ku, Busan, 608-739, South Korea

    Jae-Seob Kwak

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  1. Jae-Seob Kwak
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Correspondence to Jae-Seob Kwak.

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Kwak, JS. Application of wavelet transform technique to detect tool failure in turning operations. Int J Adv Manuf Technol 28, 1078–1083 (2006). https://doi.org/10.1007/s00170-004-2476-x

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  • DOI: https://doi.org/10.1007/s00170-004-2476-x

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