Monitoring of drilling conditions using the Hilbert-Huang transformation

Citations of this article
Mendeley users who have this article in their library.


The article presents the results of design and monitoring the drilling process. Vibroacoustic sensors were used to observe spindle vibrations. These signals were subjected to a Huang decomposition and a Fourier transform. Results for various conditions were studied and classified with help of Fourier spectra and the envelope curves. Using the additional results of numerical simulations sources of vibration were identified. We considered four different types of drilling which were diversified in terms of geometrical parameters of blades. The application of Hilbert transform enable to find nonlinear characteristics via the deflection profile of resonance backbone curves.




Wolszczak, P., Litak, G., & Dziuba, M. (2018). Monitoring of drilling conditions using the Hilbert-Huang transformation. In MATEC Web of Conferences (Vol. 148). EDP Sciences.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free