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Artificial immune systems based multi-agent architecture to perform distributed diagnosis

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Abstract

Cyber-physical systems (CPS) emerge as a new idea to implement new manufacturing paradigms. There paradigms aim at answering the socio-economic factors that characterise modern enterprises, such as mass customisation and new markets. The authors propose an architecture that performs distributed diagnosis. The proposed solution uses artificial immune systems (AIS) to perform evolutionary diagnose. Industrial approaches to machine diagnosis are centralised. The authors pretend to make a CPS capable of distributed diagnosis with learning capabilities. An architecture capable of machine diagnosis and learning is also presented. This is done by bio-inspired algorithms. These were rated by a fuzzy inference system. The algorithms were tested for situations a system may endure and for their learning capability. The results of the obtained research, study and development are hereby presented. These results constitute proof of the sustainability of the AIS paradigm as a solution to distributed diagnosis.

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Acknowledgements

Funding was provided by H2020 Industrial Leadership (BE).

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Authors and Affiliations

  1. Uninova - CTS, Departamento de Engenharia Electrotécnica, Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2825-149, Caparica, Portugal

    Andre Dionisio Rocha, Pedro Lima-Monteiro, Mafalda Parreira-Rocha & Jose Barata

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  1. Andre Dionisio Rocha
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  2. Pedro Lima-Monteiro
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  3. Mafalda Parreira-Rocha
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  4. Jose Barata
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Correspondence to Andre Dionisio Rocha.

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Rocha, A.D., Lima-Monteiro, P., Parreira-Rocha, M. et al. Artificial immune systems based multi-agent architecture to perform distributed diagnosis. J Intell Manuf 30, 2025–2037 (2019). https://doi.org/10.1007/s10845-017-1370-y

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  • DOI: https://doi.org/10.1007/s10845-017-1370-y

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