23 December 2013 Chatter identification using HHT for boring process
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Abstract
This paper presents a signal processing technique of chatter detection for boring bar based on the Hilbert–Huang Transform (HHT). HHT is suitable for the analysis of non-stationary and non-linear signals. The flow of HHT for processing chatter signal and the principle are introduced. Two kinds of signals from strain gauge and FBG sensor are compared by HHT. The signals are decomposed into several intrinsic mode functions (IMFs) using empirical mode decomposition (EMD). The Hilbert transform is then applied on each IMF to obtain the instantaneous frequencies with time and their amplitudes. Finally, the marginal and the Hilbert spectrums of strain signals were produced using selected IMFs. The results show that the HHT-based strain signal analysis can also be considered as a simple and reliable method for chatter vibration detection.
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Wei Peng, Wei Peng, Zhongju Hu, Zhongju Hu, Li Yuan, Li Yuan, Pingyu Zhu, Pingyu Zhu, } "Chatter identification using HHT for boring process", Proc. SPIE 9043, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Devices and Optical Signal Processing, 904316 (23 December 2013); doi: 10.1117/12.2037988; https://doi.org/10.1117/12.2037988
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