title: Novel Oversampling Technique for Improving Signal-to-Quantization Noise Ratio on Accelerometer-Based Smart Jerk Sensors in CNC Applications.
abstract: Jerk monitoring, defined as the first derivative of acceleration, has become a major issue in computerized numeric controlled (CNC) machines. Several works highlight the necessity of measuring jerk in a reliable way for improving production processes. Nowadays, the computation of jerk is done by finite differences of the acceleration signal, computed at the Nyquist rate, which leads to low signal-to-quantization noise ratio (SQNR) during the estimation. The novelty of this work is the development of a smart sensor for jerk monitoring from a standard accelerometer, which has improved SQNR. The proposal is based on oversampling techniques that give a better estimation of jerk than that produced by a Nyquist-rate differentiator. Simulations and experimental results are presented to show the overall methodology performance.
authors.affiliation: Facultad de Ingeniería, Campus San Juan del Río, Universidad Autónoma de Querétaro / Río Moctezuma 249, Col. San Cayetano, 76807 San Juan del Río, Querétaro, Mexico; E-Mails:  jjrangel@hspdigital.org  (J.J.R.-M.);  raosornio@hspdigital.org  (R.A.O.-R.).
authors.forename: Jose J
authors.initials: JJ
authors.lastname: Rangel-Magdaleno
authors.forename: Rene J
authors.initials: RJ
authors.lastname: Romero-Troncoso
authors.forename: Roque A
authors.initials: RA
authors.lastname: Osornio-Rios
authors.forename: Eduardo
authors.initials: E
authors.lastname: Cabal-Yepez