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- Title
Novel Oversampling Technique for Improving Signal-to-Quantization Noise Ratio on Accelerometer-Based Smart Jerk Sensors in CNC Applications.
- Authors
Rangel-Magdaleno, Jose J.; Romero-Troncoso, Rene J.; Osornio-Rios, Roque A.; Cabal-Yepez, Eduardo
- 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.
- Subjects
SIGNAL-to-noise ratio; ACCELEROMETERS; DETECTORS; MANUFACTURING processes; SIGNAL processing; SIMULATION methods &; models; GEOMETRIC quantization; SPEED-indicators; FINITE differences
- Publication
Sensors (14248220), 2009, Vol 9, Issue 5, p3767
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s90503767