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Eduardo Carlos Bianchi
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2020 – today
- 2020
- [j7]Martin Antonio Aulestia Viera
, Paulo R. Aguiar, Pedro Oliveira Junior
, Felipe A. Alexandre
, Wenderson N. Lopes, Eduardo C. Bianchi, Rosemar Batista da Silva, Doriana Marilena D'Addona
, André Luiz Andreoli
:
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. Sensors 20(8): 2387 (2020) - [j6]Fábio Romano Lofrano Dotto
, Paulo R. Aguiar
, Felipe A. Alexandre
, Wenderson N. Lopes, Eduardo C. Bianchi:
In-Dressing Acoustic Map by Low-Cost Piezoelectric Transducer. IEEE Trans. Ind. Electron. 67(8): 6927-6936 (2020)
2010 – 2019
- 2019
- [j5]Martin Antonio Aulestia Viera
, Paulo R. Aguiar, Pedro Oliveira Junior
, Felipe A. Alexandre
, Wenderson N. Lopes, Eduardo C. Bianchi, Rosemar Batista da Silva, Doriana D'Addona
, André Luiz Andreoli
:
A Time-Frequency Acoustic Emission-Based Technique to Assess Workpiece Surface Quality in Ceramic Grinding with PZT Transducer. Sensors 19(18): 3913 (2019) - [j4]Felipe A. Alexandre
, Paulo R. Aguiar, Reinaldo Götz
, Martin Antonio Aulestia Viera
, Thiago Glissoi Lopes
, Eduardo Carlos Bianchi
:
A Novel Ultrasound Technique Based on Piezoelectric Diaphragms Applied to Material Removal Monitoring in the Grinding Process. Sensors 19(18): 3932 (2019) - 2017
- [j3]Danilo M. S. Ribeiro, Paulo R. Aguiar
, Luiz F. G. Fabiano, Doriana D'Addona, Fabricio Guimaraes Baptista, Eduardo C. Bianchi:
Spectra Measurements Using Piezoelectric Diaphragms to Detect Burn in Grinding Process. IEEE Trans. Instrum. Meas. 66(11): 3052-3063 (2017) - 2015
- [j2]Mauricio Eiji Nakai, Paulo Roberto de Aguiar, Hildo Guillardi Jr.
, Eduardo Carlos Bianchi, Danilo Hernane Spatti
, Doriana Marilena D'Addona
:
Evaluation of neural models applied to the estimation of tool wear in the grinding of advanced ceramics. Expert Syst. Appl. 42(20): 7026-7035 (2015) - 2014
- [j1]Cesar H. R. Martins, Paulo Roberto de Aguiar, Arminio Frech, Eduardo Carlos Bianchi:
Tool Condition Monitoring of Single-Point Dresser Using Acoustic Emission and Neural Networks Models. IEEE Trans. Instrum. Meas. 63(3): 667-679 (2014) - [c6]Rodolpho F. Godoy Neto, Marcelo Marchi, Cesar H. R. Martins, Paulo Roberto de Aguiar, Eduardo Carlos Bianchi:
Monitoring of Grinding Burn by AE and Vibration Signals. ICAART (1) 2014: 272-279 - 2013
- [c5]Cesar H. R. Martins, Paulo Roberto de Aguiar, Arminio Frech, Eduardo Carlos Bianchi:
Neural Networks Models for Wear Patterns Recognition of Single-Point Dresser. MIM 2013: 1524-1529
2000 – 2009
- 2007
- [c4]Paulo Roberto de Aguiar, C. E. D. Cruz, W. C. F. Paula, Eduardo C. Bianchi, Rogério Thomazella, Fábio Romano Lofrano Dotto:
Neural network approach for surface roughness prediction in surface grinding. Artificial Intelligence and Applications 2007: 111-117 - 2005
- [c3]Paulo Roberto de Aguiar, Eduardo C. Bianchi, Fábio Romano Lofrano Dotto, Rogério Andrade Flauzino, Danilo Hernane Spatti:
Neural Network Applied to Detect Burn in Grinding. Artificial Intelligence and Applications 2005: 831-836 - 2004
- [c2]Paulo Roberto de Aguiar, Paulo José Amaral Serni, Eduardo C. Bianchi, Fábio Romano Lofrano Dotto:
In-process grinding monitoring by acoustic emission. ICASSP (5) 2004: 405-408 - 2002
- [c1]Fábio Romano Lofrano Dotto
, Paulo Roberto de Aguiar, Eduardo C. Bianchi:
In-process thermal damage detection in grinding with monitoring via Internet. ICARCV 2002: 270-275
Coauthor Index
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