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In-process grinding monitoring through acoustic emission
(2006-01-01)
This work aims to investigate the efficiency of digital signal processing tools of acoustic emission signals in order to detect thermal damages in grinding processes. To accomplish such a goal, an experimental work was ...
In-process grinding monitoring through acoustic emission
(2006-01-01)
This work aims to investigate the efficiency of digital signal processing tools of acoustic emission signals in order to detect thermal damages in grinding processes. To accomplish such a goal, an experimental work was ...
Energy method to calculate the density of liquids using ultrasonic reflection techniques
(2001-12-01)
In this work it is introduced a new approach to calculate the density of liquids in terms of the energies of the acoustic signals. This method is compared to other methods in the time domain (peak-to-peak amplitudes) and ...
Energy method to calculate the density of liquids using ultrasonic reflection techniques
(2001-12-01)
In this work it is introduced a new approach to calculate the density of liquids in terms of the energies of the acoustic signals. This method is compared to other methods in the time domain (peak-to-peak amplitudes) and ...
Monitoring the dressing operation in the grinding process
(2009-03-03)
This work was based on a methodology of development and experimentation, and involved monitoring the dressing operation by processing the acoustic emission and electric power signals to detect the optimal dressing moment. ...
Components of the acoustic swallowing signal: Preliminary study
(2012-12-01)
Purpose: To analyze the components of the acoustic signal of swallowing using a specific software. Methods: Fourteen healthy subjects ranging in age from 20 to 50 years (mean age 31±10 years), were evaluated. Data collection ...
Components of the acoustic swallowing signal: Preliminary study
(2012-12-01)
Purpose: To analyze the components of the acoustic signal of swallowing using a specific software. Methods: Fourteen healthy subjects ranging in age from 20 to 50 years (mean age 31±10 years), were evaluated. Data collection ...