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Towards Predictive Maintenance as a Service in the Smart Housing Industry 

INFORMATIK 2021 Lowin, Maximilian; Mihale-Wilson, Cristina
Maintenance is a significant cost driver in many industries with tangible assets. Aiming to predict damages before they occur, this paper focuses on predictive maintenance (PdM) for smart buildings and apartments – a multi-billion-dollar market with substantial cost savings potential. Based on stakeholder groups’ ...

From Physical to Virtual: Leveraging Drone Imagery to Automate Photovoltaic System Maintenance 

INFORMATIK 2021 Lowin, Maximilian; Kellner, Domenic; Kohl, Tobias; Mihale-Wilson, Cristina
Optimizing the maintenance of large-scale infrastructure can be a significant cost driver for small and medium-sized enterprises (SMEs). This paper presents a feasible approach to combine data from real-world physical structures collected through an automated maintenance process with cloud-based AI services to generate ...

Towards Designing a User-centric Decision Support System for Predictive Maintenance in SMEs 

INFORMATIK 2021 Kellner, Domenic; Lowin, Maximilian; von Zahn, Moritz; Chen, Johannes
In manufacturing, small and medium-sized enterprises (SMEs) face global competition. In the field of predictive maintenance (PdM), artificial intelligence (AI) helps to prevent machine failures and has the potential to significantly reduce costs and increase process efficiency. Even though PdM has several benefits, it ...

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Author

Lowin, Maximilian (3)
Kellner, Domenic (2)Mihale-Wilson, Cristina (2)Chen, Johannes (1)Kohl, Tobias (1)von Zahn, Moritz (1)

Subject

predictive maintenance (2)decision support systems (1)design science research (1)Digital Twin (1)explainable artificial intelligence (1)Internet of Things (1)Machine Learning (1)machine learning (1)Neural Networks (1)Photovoltaic System (1)... View More

Date Issued

2021 (3)

Has File(s)

Yes (3)

About uns | FAQ | Help | Imprint | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.