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Automatic Diagnosis for Profibus Networks

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Abstract

This research proposes the use of intelligent systems to diagnose industrial network communication via Profibus DP Protocol. These diagnostics are based on the information provided by the physical, data link and user layers from the Profibus DP. In order to analyze the physical layer, an artificial neural network first analyzes signal samples transmitted through industrial network. Moreover, some diagnostics can be acquired by using an expert system that analyzes frames which are transmitted by the data link layer. Finally, this research proposes a fuzzy system, which indicates to the user an ideal value to the target rotation time variable. The project was validated by data obtained from concrete Profibus protocol and by some synthetic data. The results were satisfactory, proving the great strength and versatility that intelligent computer systems have when applied to the outlined purposes in this work.

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Notes

  1. ProfiDoctor Package is a communication format used to encapsulate in TCP/IP packages information of data link layer frames and physical layer sampled signals. Any tool able to create these packages is able to communicate with ProfiDoctor tool.

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Acknowledgments

The authors gratefully acknowledge the academic support and research structure of the Engineering School of São Carlos– University of São Paulo and the Federal Institute of São Paulo.

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Authors and Affiliations

  1. Federal Institute of Education, Science and Technology of São Paulo, 269 Américo Ambrósio Street, Jardim Canaã, Sertãozinho, SP, 14169-263, Brazil

    Eduardo André Mossin

  2. São Carlos School of Engineering, University of São Paulo, Brazil, 400 Avenida dos Trabalhadores São-carlense, ave, Pq Arnold Schimidt, São Carlos, SP, 13566-590, Brazil

    Dennis Brandão, Guilherme Serpa Sestito & Renato Veiga Torres

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  1. Eduardo André Mossin
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  2. Dennis Brandão
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  3. Guilherme Serpa Sestito
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  4. Renato Veiga Torres
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Correspondence to Eduardo André Mossin.

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Mossin, E.A., Brandão, D., Sestito, G.S. et al. Automatic Diagnosis for Profibus Networks. J Control Autom Electr Syst 27, 658–669 (2016). https://doi.org/10.1007/s40313-016-0261-3

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  • DOI: https://doi.org/10.1007/s40313-016-0261-3

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