This paper presents the use of accelerometer signals in order to detect cutter tool wear and tool fault under different cutting conditions. The new method, Hilbert-Huang transform (HHT), was applied to the cutter tool wear and tool fault monitoring and compared to Fourier transform. In the results processed by short-time Fourier transform the cutter tool wear or tool fault is detected by increasing the power in the power spectral density. The acceleration signals (processed by using HHT) change the frequency in the marginal spectra as a result of geometric change of the cutter tool. Results are presented in both frequency domain and time-frequency domain in the case of HHT. The HHT presents data locally without harmonics. This fact permits overcoming of the nonlinearity and nonstationarity of the acceleration signal. Axes x and z are the most sensitive to both HHT and Fourier transform. (C) 2010 Elsevier Ltd. All rights reserved.
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INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
