A new approach for dressing operation monitoring based on electromechanical impedance using computational intelligence

• Grant number: 17/16921-9
• Support Opportunities: Scholarships abroad - Research Internship - Doctorate
• Start date: December 01, 2017
• End date: November 30, 2018
• Field of knowledge: Engineering - Electrical Engineering
• Principal Investigator: Paulo Roberto de Aguiar
• Grantee: Pedro de Oliveira Conceição Junior
• Supervisor: Doriana Marilena D'Addona
• Host Institution: Faculdade de Engenharia (FE). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil
• Institution abroad: Università degli Studi di Napoli Frederico II (UNINA), Italy
• Associated to the scholarship: 16/02831-5 - Structural health monitoring system of dressers based on electromechanical impedance measurements, BP.DR

Abstract

This proposal aims to request for FAPESP a Research Internship Abroad (BEPE) in doctoral level, for Mr. Pedro de Oliveira Conceição Junior, doctorate student in the Electrical Engineering Graduation Program, at Faculdade de Engenharia de Bauru - FEB/UNESP, under supervision of Full Professor Paulo Roberto de Aguiar and under FAPESP grant #2016/02831-5. The activities to be carried out abroad are part of those foreseen in his Doctoral thesis under development in Brazil. The main justification of this proposal is based on the need for the student to carry out deeper knowledge on the monitoring of the dressing operation that will depend on the resources available in the Fraunhofer Joint Laboratory of Excellence on Advanced Production Technology - Fh_JLEAPT, in the Department Di Chimica, Materiali and Ingegneria della Produzione Industriale - DICMAPI, from Università Degli Studi di Napoli Federico II - in Naples Italy. The student will be under the supervision of Professor Doriana Marilena D'Addona, who has already established guidelines for methodological development that allow a deep identification of the aspects involved between the electromechanical impedance method (EMI) and the features of the dressing operation. This proposal also aims to promote improvements in precision and reliability of dresser damage diagnosis during the dressing operation. Furthermore, the monitoring system through the EMI method will be also improved by employing computational intelligent techniques, which will allow for the selection of frequency bands more sensitive to damage. (AU)

Scientific publications

(4)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

JUNIOR, PEDRO; D'ADDONA, DORIANA M.; AGUIAR, PAULO R.; TETI, ROBERTO. Dressing Tool Condition Monitoring through Impedance-Based Sensors: Part 1-PZT Diaphragm Transducer Response and EMI Sensing Technique. SENSORS, v. 18, n. 12, DEC 2018. (17/16921-9, 16/02831-5)

JUNIOR, PEDRO; D'ADDONA, DORIANA M.; AGUIAR, PAULO; TETI, ROBERTO. Dressing Tool Condition Monitoring through Impedance-Based Sensors: Part 2-Neural Networks and K-Nearest Neighbor Classifier Approach. SENSORS, v. 18, n. 12, DEC 2018. (17/16921-9, 16/02831-5)

JUNIOR, PEDRO OLIVEIRA C.; CONTE, SALVATORE; D'ADDONA, DORIANA M.; AGUIAR, PAULO R.; BAPTISTA, FABRICIO G.; BIANCHI, EDUARDO C.; TETI, ROBERTO; TETI, R; DADDONA, DM. Damage patterns recognition in dressing tools using PZT-based SHM and MLP networks. 11TH CIRP CONFERENCE ON INTELLIGENT COMPUTATION IN MANUFACTURING ENGINEERING, v. 79, p. 5-pg., 2019-01-01. (17/16921-9, 16/02831-5)

JUNIOR, PEDRO O.; D'ADDONA, DORIANA M.; ALEXANDRE, FELIPE A.; RUZZI, RODRIGO; AGUIAR, PAULO R.; BAPTISTA, FABRICIO G.; BIANCHI, EDUARDO C.; GAPINSKI, B; SZOSTAK, M; IVANOV, V. Impedance-Based PZT Transducer and Fuzzy Logic to Detect Damage in Multi-point Dressers. ADVANCES IN MANUFACTURING II, VOL 4 - MECHANICAL ENGINEERING, v. N/A, p. 10-pg., 2019-01-01. (17/16921-9, 16/02831-5)