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05/11/2023
Comparison of Clustering Algorithms for Statistical Features of Vibration Data Sets
Vibration-based condition monitoring systems are receiving increasing at...
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04/21/2023
Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications
Data-driven machine learning is playing a crucial role in the advancemen...
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10/14/2022
Autoencoder based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems
Anomaly detection in large industrial cooling systems is very challengin...
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09/23/2022
Smart Active Sampling to enhance Quality Assurance Efficiency
We propose a new sampling strategy, called smart active sapling, for qua...
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10/15/2021
Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System
Federated Learning (FL) decouples model training from the need for direc...
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10/08/2021
Minimal-Configuration Anomaly Detection for IIoT Sensors
The increasing deployment of low-cost IoT sensor platforms in industry b...
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10/07/2021
Towards Robust and Transferable IIoT Sensor based Anomaly Classification using Artificial Intelligence
The increasing deployment of low-cost industrial IoT (IIoT) sensor platf...
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05/14/2020
Industrial Federated Learning – Requirements and System Design
Federated Learning (FL) is a very promising approach for improving decen...
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07/24/2018