Novel Oversampling Technique for Improving Signal-to-Quantization Noise Ratio on Accelerometer-Based Smart Jerk Sensors in CNC ApplicationsReport as inadecuate




Novel Oversampling Technique for Improving Signal-to-Quantization Noise Ratio on Accelerometer-Based Smart Jerk Sensors in CNC Applications - Download this document for free, or read online. Document in PDF available to download.

1

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

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HSPdigital Research Group, División de Ingenierías, Campus Irapuato-Salamanca, Universidad de Guanajuato - Carr. Salamanca-Valle km 3.5+1.8, Comunidad de Palo Blanco, 36700 Salamanca, Guanajuato, Mexico





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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. View Full-Text

Keywords: jerk; acceleration; smart sensors; SQNR; oversampling jerk; acceleration; smart sensors; SQNR; oversampling





Author: Jose J. Rangel-Magdaleno 1, Rene J. Romero-Troncoso 1, 2,* , Roque A. Osornio-Rios 1 and Eduardo Cabal-Yepez 2

Source: http://mdpi.com/



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