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Advanced sensor-based maintenance in real-world exemplary cases

Albano, Michele; Lino Ferreira, Luis; Orio, Giovanni Di; Maló, Pedro; Webers, Godfried; Jantunen, Erkki; Gabilondo, Iosu; Viguera, Mikel; Papa, Gregor

Collecting complex information on the status of machinery 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 Condition-Based Maintenance. This paper discusses the sensors that can be used to support maintenance, as of different categories, spanning from common off-the-shelf sensors, to spe...


The MANTIS book: Cyber Physical System Based Proactive Collaborative Maintenance

Albano, Michele; Jantunen, Erkki; Papa, Gregor; Zurutuza, Urko

In recent years, a considerable amount of effort has been devoted, both in industry and academia, to improving maintenance. Time is a critical factor in maintenance, and efforts are placed to monitor, analyze, and visualize machine or asset data in order to anticipate to any possible failure, prevent damage, and save costs. The MANTIS Book aims to highlight the underpinning fundamentals of Condition-Based Maint...


An iterative process to extract value from maintenance projects

Mejía Niño, Carolina; Albano, Michele; Jantunen, Erkki; Sharma, Pankaj; Campos, Jaime; Baglee, David

Research and development projects are producing novel maintenance strategies and techniques. Anyway, it is not straightforward to transfer results from the lab to the real world, and thus many projects, both internal to a company and in cooperation between the members of a consortium, speculate how to perform this feat, called “exploitation” in the context of European projects. This paper discusses the necessit...


Maintenance 4.0 World of Integrated Information

Jantunen, Erkki; di Orio, Giovanni; Hegedus, Csaba; Varga, Pal; Moldovan, Istvan; Larrinaga, Felix; Becker, Matthias; Albano, Michele; Maló, Pedro

The 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 pla...


Energy Saving by Blockchaining Maintenance

Albano, Michele; Sharma, Pankaj; Campos, Jaime; Jantunen, Erkki

The development and interest in Industry 4.0 together with rapid development of Cyber Physical Systems has created magnificent opportunities to develop maintenance to a totally new level. The Maintenance 4.0 vision considers massive exploitation of information regarding factories and machines to improve maintenance efficiency and efficacy, for example by facilitating logistics of spare parts, but on the other h...


Sensors: the Enablers for Proactive Maintenance in the Real World

Albano, Michele; Ferreira, Luís Lino; di Orio, Giovanni; Maló, Pedro; Webers, Godfried; Jantunen, Erkki; Gabilondok, Iosu; Viguera, Mikel; Papa, Gregor

Nowadays, 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,...


Remote maintenance support with the aid of cyber-physical systems and cloud tec...

Jantunen, Erkki; Gorostegui, Unai; Zurutuza, Urko; Albano, Michele; Lino Ferreira, Luis; Hegedűs, Csaba; Campos, Jaime

This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud technologies play a key role for such maintenance purposes. In fact, the utilization of large quantities of data collected on machines and their processing by means of advanced techniques suc...


A Framework for Maintenance 4.0

Jantunen, Erkki; di Orio, Giovanni; Larrinaga, Felix; Becker, Martin; Albano, Michele; Maló, Pedro

The 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 t...


Blockchain Technology Helps Maintenance to Stop Climate Change

Albano, Albano; Sharma, Pankaj; Campos, Jaime; Jantunen, Erkki

The development and interest in Industry 4.0 together with rapid development of Cyber Physical Systems has created magnificent opportunities to develop maintenance to a totally new level. The Maintenance 4.0 vision considers massive exploitation of information regarding factories and machines to improve maintenance efficiency and efficacy, for example by facilitating logistics of spare parts, but on the other h...


The Way Cyber Physical Systems Will Revolutionise Maintenance

Jantunen, Erkki; Zurutuza, Urko; Albano, Michele; di Orio, Giovanni; Maló, Pedro; Hegedus, Csaba

The 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 wi...


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