The full potential of predictive maintenance has not yet been utilised. Current solutions focus on individual steps of the predictive maintenance cycle and only work for very specific settings. The overarching challenge of predictive maintenance is to leverage these individual building blocks to obtain …

The full potential of predictive maintenance has not yet been utilised. Current solutions focus on individual steps of the predictive maintenance cycle and only work for very specific settings. The overarching challenge of predictive maintenance is to leverage these individual building blocks to obtain …

Although predictive maintenance is indisputable as an integral part of efficient production, it is still seen as an annoying cost factor. This article presents a conceptual model that sheds light on cause-and-effect relationships and reinforcing feedback effects. This creates transparency and understanding …

Sleep quality and maintenance of the optimal cognitive functioning is of crucial importance for aviation safety. Fatigue Risk Management (FRM) enables the operator to achieve the objectives set in their safety and FRM policies. As in any other risk management cycle, the FRM value can be realized by deploying …

Channel State Information (CSI) analysis for Predictive Maintenance using Convolutiona Neural Network (CNN).

Rijkswaterstaat is de uitvoeringsorganisatie van het Ministerie van Infrastructuur en Waterstaat. Zij beheren binnen Nederland de rijkswegen, -vaarwegen en –wateren en ontwikkelen deze ook. Dit maakt dat Rijkswaterstaat in het bezit is van een breed scala aan infrastructurele assets, zoals bruggen en …

Er wordt de laatste jaren steeds vaker gesproken over predictive maintenance, het voorspellen van onderhoud aan apparatuur waarbij die voorspelling is gebaseerd op de staat van dat apparaat. Er wordt continu gemeten en pas ingegrepen als de metingen aangeven dat het fout gaat. Om deze metingen te kunnen …