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Analysis and Denoising of Cutting Force Using Wavelet Transform  

하만경 (부경대학교 기계공학부)
곽재섭 (부경대학교 기계공학부)
진인태 (부경대학교 기계공학부)
김병탁 (부경대학교 기계공학부)
양재용 (부경대학교 기계공학과 대학원)
Publication Information
Journal of the Korean Society for Precision Engineering / v.19, no.12, 2002 , pp. 78-85 More about this Journal
Abstract
The wavelet transform is a popular tool fer studying intermittent and localized phenomena in signals. In this study the wavelet transform of cutting force signals was conducted for the detection of a tool failure in turning process. We used the Daubechies wavelet analyzing function to detect a sudden change in cutting signal level. A preliminary stepped workpiece which had intentionally a hard condition was cut by the inserted cermet tool and a tool dynamometer obtained cutting force signals. From the results of the wavelet transform, the obtained signals were divided into approximation terms and detailed terms. At tool failure, the approximation signals were suddenly increased and the detailed signals were extremely oscillated just before tool failure.
Keywords
Wavelet transform; Cutting force signal; Tool failure; Turning process; Chatter vibration;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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