Browsing by Author "di Orio, Giovanni"
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- A Framework for Maintenance 4.0Publication . Jantunen, Erkki; di Orio, Giovanni; Larrinaga, Felix; Becker, Martin; Albano, Michele; Maló, PedroThe rapid development of new low-cost sensors of reasonable processing power have led to the introduction of Cyber-Physical Systems (CPS) to support maintenance, which in turn together with a scalable, two level data processing architecture has taken maintenance as such to a new level i.e. Maintenance 4.0. The potential of CPS to support maintenance is explained, and it is related to the requirements set upon the sensors, such as robustness, communication capabilities, intelligence, small size, etc. A new framework and architecture with support for Health management, Prognostics and Collaborative decision-making functionalities that takes the full advantage of the above introduced new technologies is described both theoretically and in the light of some industrial use case examples. A comparative between the approaches implemented in the use cases brings light into the maintenance possibilities to address in such a framework.
- Maintenance 4.0 World of Integrated InformationPublication . Jantunen, Erkki; di Orio, Giovanni; Hegedus, Csaba; Varga, Pal; Moldovan, Istvan; Larrinaga, Felix; Becker, Matthias; Albano, Michele; Maló, PedroThe Condition-Based Maintenance (CBM) strategy has got new, powerful toolset recently: the concepts of Internet of Things (IoT) and CyberPhysical Systems (CPS). These can provide flexible but powerful data collection and analysis methods for Proactive and Predictive Maintenance. In the landscape of new digitalization and interconnection of products, services, processes, enterprises and people, IoT/CPS-based platforms are increasing in their size and target applications in a steady manner. Beside the fundamental research challenges regarding the reference architecture, interoperability, performance, quality and deployment issues, the challenges regarding system maintenance are also burning. There are various issues that are specific to the maintenance domain: interoperability and data flow management, data representation models, and data processing models and tools. The paper describes a maintenance reference architecture and platform, which aims to tackle all these challenges. The architecture suggested by the MANTIS project covers edge and cloud level interoperability, data flow management, and data processing issues. Furthermore, it provides domain-specific methods for root cause analysis, failure prediction, and models for predicting remaining useful life. The architecture is strengthened by the concept of MIMOSA, a data model definition that allows data representation models that are easy to fit into relational object and information management models required by CBM. The MANTIS platform utilizes the Arrowhead framework for tackling interoperability and integrability issues.
- A Pilot for Proactive Maintenance in Industry 4.0Publication . Lino Ferreira, Luis; Albano, Michele; Silva, José; Martinho, Diogo; Marreiros, Goreti; di Orio, Giovanni; Maló, Pedro; Ferreira, HugoThe reliability and safety of industrial machines depends on their timely maintenance. The integration of Cyber Physical Systems within the maintenance process enables both continuous machine monitoring and the application of advanced techniques for predictive and proactive machine maintenance. The building blocks for this revolution – embedded sensors, efficient preprocessing capabilities, ubiquitous connection to the internet, cloud-based analysis of the data, prediction algorithms, and advanced visualization methods – are already in place, but several hurdles have to be overcome to enable their application in real scenarios, namely: the integration with existing machines and existing maintenance processes. Current research and development efforts are building pilots and prototypes to demonstrate the feasibility and the merits of advanced maintenance techniques, and this paper describes a system for the industrial maintenance of sheet metal working machinery
- Sensors: the Enablers for Proactive Maintenance in the Real WorldPublication . Albano, Michele; Ferreira, Luís Lino; di Orio, Giovanni; Maló, Pedro; Webers, Godfried; Jantunen, Erkki; Gabilondok, Iosu; Viguera, Mikel; Papa, Gregor; Novak, FrancNowadays, collecting complex information regarding a machine status is the enabler for advanced maintenance activities, and one of the main players in this process is the sensor. This paper describes modern maintenance strategies that lead to Proactive Maintenance (PM), which is the most advanced one. The paper discusses the sensors that can be used to support maintenance, as pertaining to different categories, spanning from common off-the-shelf sensors, to specialized sensors monitoring very specific characteristics, and to virtual sensors. The paper proceeds then to detail three different real world examples of project pilots that make use of the described sensors, and draws a comparison between them. In particular, each scenario has got unique characteristics and prefers different families of sensors, but on the other hand provides similar characteristics on other aspects. In fact, the paper concludes with a discussion regarding how each scenario can benefit from PM and from advanced sensing.
- The Way Cyber Physical Systems Will Revolutionise MaintenancePublication . Jantunen, Erkki; Zurutuza, Urko; Albano, Michele; di Orio, Giovanni; Maló, Pedro; Hegedus, CsabaThe way maintenance is carried out is altering rapidly. The introduction of Cyber Physical Systems (CPS) and cloud technologies are providing new technological possibilities that change dramatically the way it is possible to follow production machinery and the necessity to carry out maintenance. In the near future, the number of machines that can be followed from remoteness will explode. At the same time, it will be conceivable to carry out local diagnosis and prognosis that support the adaptation of Condition Based Maintenance (CBM) i.e. financial optimisation can drive the decision whether a machine needs maintenance or not. Further to this, the cloud technology allows to accumulate relevant data from numerous sources that can be used for further improvement of the maintenance practices. The paper goes through the new technologies that have been mentioned above and how they can be benefitted from in practise.
- Towards a Framework for Interoperable and Interconnected CPS-populated Systems for Proactive MaintenancePublication . di Orio, Giovanni; Maló, Pedro; Barata, José; Albano, Michele; Lino Ferreira, LuisCyber-Physical Systems (CPS) are creating new market opportunities and business models for all kind of European Industries. CPS-based platforms are increasing in their size and target application areas in a steady manner. However, even if progress is made every day supported by continuous technological advancements, CPS application and deployment is still challenging. Many solutions have been made available or is currently under development in several research projects/ initiatives. Typically, these solutions show no interoperability between each other and are tailored to a specific application context. Thus, there is an urgent need for a clear definition of what a CPS-populated system actually is. This will provide a common ground for designing and building interoperable CPS-populated systems. Interoperability represents one of the most challenging problems for such systems essentially due to their intrinsic characteristics: heterogeneity, distribution and networked. These must be addressed to allow the cooperation and collaboration between all the actors of the system. In this landscape, the MANTIS project is aimed to provide a reference model for interoperable and interconnected CPS-populated systems for maintenance-related ecosystems, which is the focus of this paper.