442 citations · 455 across the 9 of their papers we have counts for
12 papers
Stuttgart Open Relay Degradation Dataset (SOReDD)
Benjamin Maschler, Angel Iliev, Thi Thu Huong Pham +1
Real-life industrial use cases for machine learning oftentimes involve heterogeneous and dynamic assets, processes and data, resulting in a need to continuously adapt the learning…
Towards Deep Industrial Transfer Learning: Clustering for Transfer Case Selection
Benjamin Maschler, Tim Knodel, Michael Weyrich
Industrial transfer learning increases the adaptability of deep learning algorithms towards heterogenous and dynamic industrial use cases without high manual efforts. The appropria…
A Methodology to Identify Cognition Gaps in Visual Recognition Applications Based on Convolutional Neural Networks
Hannes Vietz, Tristan Rauch, Andreas Löcklin +2
Developing consistently well performing visual recognition applications based on convolutional neural networks, e.g. for autonomous driving, is very challenging. One of the obstacl…
Regularization-based Continual Learning for Fault Prediction in Lithium-Ion Batteries
Benjamin Maschler, Sophia Tatiyosyan, Michael Weyrich
In recent years, the use of lithium-ion batteries has greatly expanded into products from many industrial sectors, e.g. cars, power tools or medical devices. An early prediction an…
Enhancing an Intelligent Digital Twin with a Self-organized Reconfiguration Management based on Adaptive Process Models
Timo Müller, Benjamin Lindemann, Tobias Jung +2
Shorter product life cycles and increasing individualization of production leads to an increased reconfiguration demand in the domain of industrial automation systems, which will b…
Towards establishing formal verification and inductive code synthesis in the PLC domain
Matthias Weiß, Philipp Marks, Benjamin Maschler +3
Nowadays, formal methods are used in various areas for the verification of programs or for code generation from models in order to increase the quality of software and to reduce co…