Afonso Celso Turcato

Federal Institute of São Paulo

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André Luís Dias

Federal Institute of São Paulo

Guilherme Serpa Sestito

Universidade Tecnológica Federal do Paraná

Dennis Brandão

University of Brescia

Paolo Ferrari

University of Brescia

Murilo Silveira Rocha

Universidade de São Paulo

Rogério Andrade Flauzino

Universidade de São Paulo

Maíra Martins da Silva

Universidade de São Paulo

Rodrigo Nicoletti

Universidade de São Paulo

Jean Carlos Rodrigues da Silva

Federal Institute of São Paulo

Luisa Helena Bartocci Liboni Negri

Federal Institute of São Paulo

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Universidade de São Paulo

Federal Institute of São Paulo

Universidade Federal de São Carlos

University of Brescia

Hospital Universitário da Universidade de São Paulo

Brescia University

Universidade Brasil

Universidade Federal do Rio de Janeiro

Mid Sweden University

Universidade Estadual de Campinas (UNICAMP)

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Diagnóstico de falhas em redutores mecânicos a partir de dados de acelerômetros e ferramentas de aprendizagem de máquinas

André Luís Dias Afonso Celso Turcato Guilherme Serpa Sestito Rui Araújo

Ferramentas de condition monitoring tem sido amplamente empregadas para deteccao de falhas em maquinas utilizadas em aplicacoes industriais. O uso de ferramentas de aprendizagem maquina para extracao de informacoes relevantes de grandes e complexos volumes de dados pode prover sistemas de diagnosticos para deteccao previa de anomalias e a consequente reducao dos custos de manutencao. Este trabalho tem por objetivo identificar falhas em redutores mecânicos de velocidade, a partir de dados de acelerometros. O desempenho do sistema proposto mostra-se satisfatorio, destacando-se pela utilizacao de poucos atributos como entradas para o sistema de diagnostico.

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Desenvolvimento de uma metodologia baseada em redes neurais artificiais para a identificação de anomalias em redes de comunicação Profinet

Afonso Celso Turcato

TURCATO, A. C.

10.11606/d.18.2015.tde-04082015-112148

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Edge-based intelligent fault diagnosis for centrifugal pumps in microbreweries

Flow Measurement and Instrumentation (2024)

André Luís Dias Marcio Rafael Buzoli Vinícius Silva Jean Carlos Rodrigues da Silva Afonso Celso Turcato

10.1016/j.flowmeasinst.2024.102730

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Proposal for Digital Transformation in Production Processes of Microbreweries: A Brazilian Market Approach

André Luís Dias Gabriel Martinz Pereira Jean Carlos Rodrigues da Silva Afonso Celso Turcato Guilherme Serpa Sestito

The number of breweries in Brazil has been rapidly increasing in recent years, especially with the creation of new microbreweries, which are typically small and medium-sized companies that focus on product innovation but still have a manual production process. In this context, this work aims to identify the profile of these breweries in the Brazilian market, understanding their main KPIs and level of automation. From this point, it suggests an architecture for digital transformation, which provides transparency in the operation of the industrial process and generates data that could be used to add value to the microbreweries, enabling them to enhance their operations and the quality of their products.

10.1109/induscon58041.2023.10374713

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Ferramenta em software para pré-processamento de tráfego de redes PROFINET

Afonso Celso Turcato André Luís Dias Dennis Brandão Rogério Andrade Flauzino

A grande aceitacao dos protocolos de comunicacao industrial baseados no padrao Real Time Ethernet pela industria desperta o interesse da comunidade cientifica em estudar seus pontos chaves. Ha, entretanto, uma incompatibilidade entre os softwares envolvidos no processo de coleta e tratamento dos dados transmitidos. Este artigo tem por objetivo apresentar o desenvolvimento de um software que facilita a integracao entre os dois principais softwares utilizados na analise do trafego da rede: o Wireshark para a captura do trafego e o Matlab para o processamento dos mesmos. Complementarmente, o software tambem apresenta informacoes do protocolo PROFINET com o intuito de otimizar o processamento dos dados. Os resultados encontrados indicam que, com a utilizacao do software, o tempo de analise e bastante reduzido permitindo que os pesquisadores, usuarios do programa, tenham um esforco reduzido e possam focar seus estudos na analise do trafego propriamente dita.

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Panorama, challenges and opportunities in PROFINET protocol research

André Luís Dias Guilherme Serpa Sestito Afonso Celso Turcato Dennis Brandão

Currently, in a scenario of Industry 4.0, the communication protocol is a key factor of success for modern industry. Allits needs could be fulfilled by Ethernet based protocols. One of the most used protocols is PROFINET{concerning the number of applications in growth in the last years, being one of the most promising protocols for the future. Considering its importance, this paper discusses a panorama which characterize the current scenario of this protocol. To achieve the main goals, 92 studies were considered in the data extraction. The obtained results were relevant to provide a current panorama of the area, as well as outlines a number of possible research directions, challenges and opportunities in PROFINET technology research such as diagnostics and security.

Panorama

10.1109/induscon.2018.8627173

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A general optimization-based approach to the detection of real-time Ethernet traffic events

Computers in Industry (2021)

Guilherme Serpa Sestito Afonso Celso Turcato André Luís Dias Paolo Ferrari Danilo Hernane Spatti

Industrial Ethernet

10.1016/j.compind.2021.103413

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Introducing a cloud based architecture for the distributed analysis of Real-Time Ethernet traffic

Afonso Celso Turcato André Luís Dias Guilherme Serpa Sestito Rogério Andrade Flauzino Dennis Brandão

The use of industrial communication protocols based on Real-Time Ethernet (RTE) standards is completely replacing traditional industrial fieldbuses. As usual, when a technology becomes mature, the need of efficient diagnostic and maintenance tools quickly raises. Very often, following the paradigm of Industry 4.0, the most effective diagnostic systems are today based on distributed, cloud-centric, architectures and artificial intelligence. However, the distributed analysis of RTE systems is challenging, considering the plurality of protocols and the stringent cost constrains which are common in industry. In this paper, a new architecture for the distributed analysis of RTE networks is proposed, leveraging on distributed probes that send traffic samples to Matlab cloud for remote analysis. The paper also proposes a software conversion tool to adapt general PCAP files captured by popular sniffers (e.g. Wireshark) into MAT file for easier Matlab elaboration. Last, a test bench for characterization (in terms of transfer delays) of the first part of the chain for RTE traffic sampling is described. The results show that in less than 10 seconds it is possible to transfer chunks of RTE traffic data (captured on industrial networks with hundreds of real-time devices) directly to the cloud and to have them converted in Matlab format.

10.1109/metroind4.0iot48571.2020.9138288

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A New Method for Fault Detection of Rotating Machines in Motion Control Applications Using PROFIdrive Information and Support Vector Machine Classifier

Journal of Dynamic Systems Measurement and Control (2020)

André Luís Dias Afonso Celso Turcato Guilherme Serpa Sestito Murilo Silveira Rocha Dennis Brandão

Abstract Electric motors are widely used in the industry. Several studies have proposed methods to detect anomalies in their operation, but always using sensors dedicated to this purpose. In this sense, this work aims to fill gaps in related works presenting a method for the detection of faults in rotating machines driven by electric motors in motion control applications using PROFINET network and PROFIdrive profile. The proposed method does not require any additional or dedicated sensors to provide data to the diagnostic system. Instead, the proposed methodology is based on the analysis of data transmitted in the communication network, which already exists for control purposes. Support vector machine (SVM) is used as a classifier of five different mechanical faults. The results provide that the methodology is feasible and efficient under different machine operating conditions, achieving, in the worst case, 97.78% efficiency.

10.1115/1.4048784

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Case of study of a Profinet network using ring topology

Guilherme Serpa Sestito Afonso Celso Turcato André Luís Dias Murilo Silveira Rocha Dennis Brandão

This study evaluates a large Profinet network using ring topology applied in an industry production line. The analysis is based on some performance indicators: jitter and throughput taking in consideration the update time of the devices, number of switches and cable length between IO-Devices and the IO-Controller. The network studied has a considerable amount of devices including distributed IOs, sensors and actuators. Its setup provides star and line topologies, besides a ring topology using manage switches. The results show the operation of MRP protocol and achieved values for the performance indicators in real factory automation applications.

Logical topology

Factory (object-oriented programming)

10.1109/isce.2016.7797387

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Citations (7)