Fabian Fingerhut

Failure-specific prediction modelling for industrial assets employing survival analysis*

Fabian Fingerhut, Elena Tsiporkova

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Multi-View Data Exploration Recipes for Making Sense of Multi-Source Industrial Data

Fabian Fingerhut, Elena Tsiporkova

Industrial assets, such as wind turbines, pumps or heavy-duty vehicles, produce large data traces which can be used for diverse purposes. However, making sense of real-world industrial data is challenging, as it is typically produced from different, highly heterogeneous sources, such as …

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Automatic Tool Wear Inspection by Cascading Sensor and Image Data

Robbert Verbeke, L De Pauw, Fabian Fingerhut, Toon Goedemé et autres

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Interpretable Data-Driven Risk Assessment in Support of Predictive Maintenance of a Large Portfolio of Industrial Vehicles

Fabian Fingerhut, Elena Tsiporkova, Veselka Boeva

In this study, we propose a data-driven survival risk analysis approach in support of predictive maintenance management of a large portfolio of industrial assets. The concrete use case considered is a large portfolio of industrial vehicles (trucks). However, the approach is generic …

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Unsupervised context-sensitive anomaly detection on streaming data relying on multi-view profiling

Fabian Fingerhut, Mathias Verbeke, Elena Tsiporkova

With the rise of Industry 4.0, many industrial assets are increasingly being monitored, generating vast amounts of data. At the same time, progress in machine learning and AI facilitates the exploitation of the gathered data for anomaly detection. Both are essential for …

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Multi-view contextual performance profiling in rotating machinery

Fabian Fingerhut, Sarah Klein, Mathias Verbeke, Sreeraj Rajendran et autres

Nowadays, most industrial assets are equipped with a multitude of different sensors continuously examining the asset's status and health. For a reliable estimation of an asset's performance it is crucial though to consider that most assets are exposed to different and typically …

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Data-Driven Usage Profiling and Anomaly Detection in Support of Sustainable Machining Processes

Fabian Fingerhut, Chaitra Harsha, Amirmohammad Eghbalian, Mahdi Tabassian et autres

There is a lot of room for improvement towards more sustainability in manufacturing companies. During the machining operations, replacement of the cutting tools is not done in an optimal way, resulting in sub-optimal usage of resources and inefficiencies during the production process. …

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