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Modelling of Networked Measuring Systems -- From White-Box Models to Data Based Approaches
This paradigm shift holds true in particular for the digital future of measurement in all spheres of our lives and the environment, where data provided by large and complex interconnected systems of sensors are to be analysed.
Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios
Additionally, the study assesses the scalability and interpretability of conventional methods and neural networks.
Deep convolutional neural networks for cyclic sensor data
Predictive maintenance plays a critical role in ensuring the uninterrupted operation of industrial systems and mitigating the potential risks associated with system failures.
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