Percorrer por autor "Piardi, Luís"
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- Collaboration and self-organization to enable self-healing in industrial cyber-physical systemsPublication . Piardi, Luís; Leitão, Paulo; Costa, Pedro; Oliveira, André Schneider deFault tolerance (FT) is a critical aspect of industry, where systems are susceptible to disturbance and faults. Traditional FT models, based on the centralization of information to handle fault episodes, no longer meet the current industrial models based on Cyber-physical Systems (CPS). Self-healing is a promising approach for FT in CPS, consisting of the individual competence of each componente in detect, diagnose and recover from failures. With this in mind, this paper discusses the engineering of self-healing fault-tolerance in industrial CPS, analyzing the maturation process of this paradigm from the local model through collaboration models and later to self-organization features. The paper also discusses the main research challenges that self-healing FT faces during this process.
- Collaborative fault tolerance for cyber–physical systems: the diagnosis stagePublication . Piardi, Luís; Costa, Pedro; Schneider, André; Leitão, PauloThe reliability and robustness of cyber-physical systems (CPS) are critical aspects of the current industrial landscape. The high level of autonomous and distributed components associated with a large number of devices makes CPS prone to faults. Despite their importance and benefits, traditional fault tolerance methodologies, namely local and/or centralized, often overlook the potential benefits of collaboration between cyber-physical components. This paper introduces a collaborative fault diagnosis methodology for CPS, integrating self-fault diagnosis capabilities in agents and leveraging collaborative behavior to enhance fault diagnosis. The contribution of this paper relay in propose a methodology for fault diagnosis for CPS, based on multi-agent system (MAS) technology as a backbone of infra-structure, highlighting the components, agent behavior, functionalities, and interaction protocols, to explore the benefits of communication and collaboration between agents. The proposed methodology enhance the accuracy of fault diagnosis when compared with local approach. A case study was conducted in a laboratory-scale warehouse, focusing on diagnosing drift, bias, and precision faults in temperature and humidity sensors. Experimental results reveal that the collaborative methodology significantly outperforms the local approach in fault diagnosis, as evidenced by performance improvements in diagnosis classification. The statistical significance of these results was validated using the Wilcoxon signed-ranks test for paired samples.
- Digital technologies to empower human activities in cyber-physical systemsPublication . Piardi, Luís; Queiroz, Jonas; Pontes, Joseane; Leitão, PauloHumans play a critical role in cyber-physical systems (CPS) since they are the most flexible piece in this systems. However, their integration is not an easy task and constitutes a significant challenge, presenting different requirements according to the activities they execute and the related integration levels, i.e., Human-in-the-Loop (HitL) and Human-in-the-Mesh (HitM). This paper aims to discuss how emergent digital technologies can empower a smoother and more symbiotic integration of humans in industrial CPS. Particularly, it contributes with an analysis of different aspects and concerns that must be considered to properly enable the HitL and HitM in CPS. Three experimental case studies are presented to demonstrate the feasibility and contribution of using disruptive digital technologies to enhance the human-CPS integration, by assisting them to perform their operations in a faster and more efficient manner. Copyright (c) 2023 The Authors.