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Discrete wavelet transform for tool breakage monitoring

1999; Elsevier BV; Volume: 39; Issue: 12 Linguagem: Inglês

10.1016/s0890-6955(99)00021-8

1879-2170

Xiaoli Li, Shen Dong, Zhejun Yuan,

Mineral Processing and Grinding

Detection of tool breakage is of vital importance in automated manufacturing. Various methods have been attempted, and it is considered that the use of discrete wavelet transform (DWT), which is much more efficient and just as accurate wavelet analysis, may provide a realistic solution to the detection of tool breakage in operation. The DWT uses an analyzing wavelet function which is localized in both time and frequency to detect a small change in the input signals. In addition, it requires less computation than Fast Fourier Transformation (FFT). This paper discusses a tool breakage monitoring system based on DWT of an acoustic emission (AE) and an electric feed current signal using an effective algorithm. The experiment results show overall 98.5% reliability and the good real-time monitoring capability of the proposed methodology for detecting tool breakage during drilling.