Paulo Roberto de Aguiar

According to our database, Paulo Roberto de Aguiar authored at least 20 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

IoT-Driven Deep Learning for Enhanced Industrial Production Forecasting.

Gabriel Augusto David, Paulo Monteiro De Carvalho Monson, Cristiano Soares Junior, Pedro O. Conceição Junior, Paulo Roberto de Aguiar, Alessandro Simeone

IEEE Internet Things J., December, 2024

A Proposed Non-Destructive Method Based on Sphere Launching and Piezoelectric Diaphragm.

Cristiano Soares Junior, Paulo Roberto de Aguiar, Doriana Marilena D'Addona, Pedro O. Conceição Junior, Reinaldo Götz Oliveira Junior

Sensors, September, 2024

fff_segmenter: A signal segmentation script for acoustic FFF fabrication data in MATLAB.

Thiago Glissoi Lopes, Paulo Monteiro De Carvalho Monson, Paulo Roberto de Aguiar, Reinaldo Götz Oliveira Junior, Pedro O. Conceição Junior

J. Open Source Softw., 2024

Detection and Classification of Defects in 3D Printing using a Novel Skewness and Kurtosis-based Parameter of Sound Signals and Machine Learning.

Thiago Glissoi Lopes, Victoria Dutra Kennerly, Paulo Roberto de Aguiar, Cristiano Soares Junior, Paulo Monteiro De Carvalho Monson, Doriana Marilena D'Addona

Proceedings of the International Conference on Control, Automation and Diagnosis, 2024

2022

A Study on a Novel Impact Test for SHM of CFRP Based on Screwdriver Bit Launch and Electret Microphone.

Cristiano Soares Junior, Paulo Roberto de Aguiar, Pedro O. C. Junior, Reinaldo Götz, Paulo Monteiro De Carvalho Monson, Alessandro Roger Rodrigues

Proceedings of the Advances in System-Integrated Intelligence, 2022

2020

In-Dressing Acoustic Map by Low-Cost Piezoelectric Transducer.

Fábio Romano Lofrano Dotto, Paulo Roberto de Aguiar, Felipe A. Alexandre, Wenderson N. Lopes, Eduardo C. Bianchi

IEEE Trans. Ind. Electron., 2020

Erratum: Aulestia Viera, M., et al. A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer. Sensors 2019, 19, 3913.

Martin Antonio Aulestia Viera, Paulo Roberto de Aguiar, Pedro Oliveira Junior, Felipe A. Alexandre, Wenderson N. Lopes, Eduardo C. Bianchi, Rosemar Batista da Silva, Doriana Marilena D'Addona, André Luiz Andreoli

Sensors, 2020

2019

A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer.

Martin Antonio Aulestia Viera, Paulo Roberto de Aguiar, Pedro Oliveira Junior, Felipe A. Alexandre, Wenderson N. Lopes, Eduardo C. Bianchi, Rosemar Batista da Silva, Doriana D'Addona, André Luiz Andreoli

Sensors, 2019

A Novel Ultrasound Technique Based on Piezoelectric Diaphragms Applied to Material Removal Monitoring in the Grinding Process.

Felipe A. Alexandre, Paulo Roberto de Aguiar, Reinaldo Götz, Martin Antonio Aulestia Viera, Thiago Glissoi Lopes, Eduardo Carlos Bianchi

Sensors, 2019

2018

Dressing Tool Condition Monitoring through Impedance-Based Sensors: Part 1 - PZT Diaphragm Transducer Response and EMI Sensing Technique.

Pedro Oliveira Junior, Doriana Marilena D'Addona, Paulo Roberto de Aguiar, Roberto Teti

Sensors, 2018

Dressing Tool Condition Monitoring through Impedance-Based Sensors: Part 2 - Neural Networks and K-Nearest Neighbor Classifier Approach.

Pedro Oliveira Junior, Doriana Marilena D'Addona, Paulo Roberto de Aguiar, Roberto Teti

Sensors, 2018

2017

Spectra Measurements Using Piezoelectric Diaphragms to Detect Burn in Grinding Process.

Danilo M. S. Ribeiro, Paulo Roberto de Aguiar, Luiz F. G. Fabiano, Doriana D'Addona, Fabricio Guimaraes Baptista, Eduardo C. Bianchi

IEEE Trans. Instrum. Meas., 2017

2015

Evaluation of neural models applied to the estimation of tool wear in the grinding of advanced ceramics.

Mauricio Eiji Nakai, Paulo Roberto de Aguiar, Hildo Guillardi Jr., Eduardo Carlos Bianchi, Danilo Hernane Spatti, Doriana Marilena D'Addona

Expert Syst. Appl., 2015

2014

Tool Condition Monitoring of Single-Point Dresser Using Acoustic Emission and Neural Networks Models.

Cesar H. R. Martins, Paulo Roberto de Aguiar, Arminio Frech, Eduardo Carlos Bianchi

IEEE Trans. Instrum. Meas., 2014

Monitoring of Grinding Burn by AE and Vibration Signals.

Rodolpho F. Godoy Neto, Marcelo Marchi, Cesar H. R. Martins, Paulo Roberto de Aguiar, Eduardo Carlos Bianchi

Proceedings of the ICAART 2014, 2014

2013

Neural Networks Models for Wear Patterns Recognition of Single-Point Dresser.

Cesar H. R. Martins, Paulo Roberto de Aguiar, Arminio Frech, Eduardo Carlos Bianchi

Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013

2007

Neural network approach for surface roughness prediction in surface grinding.

Paulo Roberto de Aguiar, C. E. D. Cruz, W. C. F. Paula, Eduardo C. Bianchi, Rogério Thomazella, Fábio Romano Lofrano Dotto

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2007

2005

Neural Network Applied to Detect Burn in Grinding.

Paulo Roberto de Aguiar, Eduardo C. Bianchi, Fábio Romano Lofrano Dotto, Rogério Andrade Flauzino, Danilo Hernane Spatti

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004

In-process grinding monitoring by acoustic emission.

Paulo Roberto de Aguiar, Paulo José Amaral Serni, Eduardo C. Bianchi, Fábio Romano Lofrano Dotto

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2002

In-process thermal damage detection in grinding with monitoring via Internet.

Fábio Romano Lofrano Dotto, Paulo Roberto de Aguiar, Eduardo C. Bianchi

Proceedings of the Seventh International Conference on Control, 2002