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01/04/2023
A Survey on Deep Industrial Transfer Learning in Fault Prognostics
Due to its probabilistic nature, fault prognostics is a prime example of...
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07/04/2022
Intelligent Exploration of Solution Spaces Exemplified by Industrial Reconfiguration Management
Many decision-making approaches rely on the exploration of solution spac...
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04/04/2022
Stuttgart Open Relay Degradation Dataset (SOReDD)
Real-life industrial use cases for machine learning oftentimes involve h...
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04/04/2022
Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection
Industrial transfer learning increases the adaptability of deep learning...
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07/07/2021
Regularization-based Continual Learning for Fault Prediction in Lithium-Ion Batteries
In recent years, the use of lithium-ion batteries has greatly expanded i...
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06/30/2021
Towards establishing formal verification and inductive code synthesis in the PLC domain
Nowadays, formal methods are used in various areas for the verification ...
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06/09/2021
Towards Deep Industrial Transfer Learning for Anomaly Detection on Time Series Data
Deep learning promises performant anomaly detection on time-variant data...
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05/31/2021
Transfer Learning as an Enhancement for Reconfiguration Management of Cyber-Physical Production Systems
Reconfiguration demand is increasing due to frequent requirement changes...
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05/28/2021
A Survey on Anomaly Detection for Technical Systems using LSTM Networks
Anomalies represent deviations from the intended system operation and ca...
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01/02/2021
Regularization-based Continual Learning for Anomaly Detection in Discrete Manufacturing
The early and robust detection of anomalies occurring in discrete manufa...
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12/06/2020
Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning
In this article, the concepts of transfer and continual learning are int...
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12/03/2020