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

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 fin...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 9; no. 5; pp. 3767 - 3789
Main Authors Rangel-Magdaleno, Jose J, Romero-Troncoso, Rene J, Osornio-Rios, Roque A, Cabal-Yepez, Eduardo
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 01.05.2009
Molecular Diversity Preservation International (MDPI)
Subjects
acceleration
Accelerometers
jerk
oversampling
Robotics
Sensors
Signal processing
smart sensors
SQNR
Mexico
acceleration
SQNR
jerk
oversampling
smart sensors
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Summary: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.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s90503767