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Guilherme Serpa Sestito
Guilherme Serpa Sestito
Universidade Federal Tecnológica do Paraná
Verified email at utfpr.edu.br
Title
Cited by
Cited by
Year
A method for anomalies detection in real-time ethernet data traffic applied to PROFINET
GS Sestito, AC Turcato, AL Dias, MS Rocha, MM da Silva, P Ferrari, ...
IEEE Transactions on Industrial Informatics 14 (5), 2171-2180, 2017
552017
Performance comparison between OPC UA and MQTT for data exchange
MS Rocha, GS Sestito, AL Dias, AC Turcato, D Brandão
2018 Workshop on Metrology for Industry 4.0 and IoT, 175-179, 2018
412018
Panorama, challenges and opportunities in PROFINET protocol research
AL Dias, GS Sestito, AC Turcato, D Brandão
2018 13th IEEE International Conference on Industry Applications (INDUSCON …, 2018
322018
A cloud-based condition monitoring system for fault detection in rotating machines using PROFINET process data
AL Dias, AC Turcato, GS Sestito, D Brandao, R Nicoletti
Computers in Industry 126, 103394, 2021
312021
On the performance of OPC UA and MQTT for data exchange between industrial plants and cloud servers
MS Rocha, GS Sestito, AL Dias, AC Turcato, D Brandão, P Ferrari
Acta IMEKO 8 (2), 80-87, 2019
272019
Performance analysis of profibus dp and profinet in a motion control application
AL Dias, GS Sestito, D Brandao
Journal of Control, Automation and Electrical Systems 28, 86-93, 2017
202017
Automatic diagnosis for profibus networks
EA Mossin, D Brandão, GS Sestito, RV Torres
Journal of Control, Automation and Electrical Systems 27, 658-669, 2016
122016
Introducing a cloud based architecture for the distributed analysis of Real-Time Ethernet traffic
AC Turcato, AL Dias, GS Sestito, R Flauzino, D Brandão, E Sisinni, ...
2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 235-240, 2020
102020
Influence of network parameters on the recovery time of a ring topology PROFINET network
FA Fernandes, GS Sestito, AL Dias, D Brandão, P Ferrari
IFAC-PapersOnLine 49 (30), 278-283, 2016
102016
In-process chatter detection in micro-milling using acoustic emission via machine learning classifiers
GS Sestito, GS Venter, KSB Ribeiro, AR Rodrigues, MM da Silva
The International Journal of Advanced Manufacturing Technology 120 (11 …, 2022
92022
Machine-learning classification of environmental conditions inside a tank by analyzing radar curves in industrial level measurements
D Borg, GS Sestito, MM da Silva
Flow Measurement and Instrumentation 79, 101940, 2021
92021
Artificial neural networks and signal clipping for Profibus DP diagnostics
GS Sestito, EA Mossin, D Brandão, AL Dias
2014 12th IEEE International Conference on Industrial Informatics (INDIN …, 2014
92014
A cloud-based method for detecting intrusions in profinet communication networks based on anomaly detection
AC Turcato, LHBL Negri, AL Dias, GS Sestito, RA Flauzino
Journal of Control, Automation and Electrical Systems 32 (5), 1177-1188, 2021
82021
A general optimization-based approach to the detection of real-time Ethernet traffic events
GS Sestito, AC Turcato, AL Dias, P Ferrari, DH Spatti, MM da Silva
Computers in Industry 128, 103413, 2021
72021
Case of study of a Profinet network using ring topology
GS Sestito, AC Turcato, AL Dias, MS Rocha, D Brandão, ...
2016 IEEE International Symposium on Consumer Electronics (ISCE), 91-96, 2016
72016
Uso de ethernet em automaçãoindustrial
GS Sestito
Universidade de São Paulo, 2011
42011
An intelligent fault diagnosis for centrifugal pumps based on electric current information available in industrial communication networks
AL Dias, JT da Silva, AC Turcato, GS Sestito
2021 14th IEEE International Conference on Industry Applications (INDUSCON …, 2021
32021
Evaluating Real-Time Ethernet performance indicators for SERCOS III networks
GS Sestito, AC Turcato, AL Dias, P Ferrari, MM da Silva
2021 14th IEEE International Conference on Industry Applications (INDUSCON …, 2021
32021
A new method for fault detection of rotating machines in motion control applications using profidrive information and support vector machine classifier
AL Dias, AC Turcato, GS Sestito, MS Rocha, D Brandão, R Nicoletti
Journal of Dynamic Systems, Measurement, and Control 143 (4), 041007, 2021
32021
Vibration-based multiphase-flow pattern classification via machine learning techniques
GS Sestito, R Álvarez-Briceño, G Ribatski, MM da Silva, LPR de Oliveira
Flow Measurement and Instrumentation 89, 102290, 2023
22023
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