Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning
Benjamin Maschler, Michael Weyrich · IEEE Industrial Electronics Magazine · 2021
Deep learning has greatly increased the capabilities of "intelligent" technical systems over the last years [1]. This includes the industrial automation sector [1]-[4], where new data-driven approaches to, for example, predictive maintenance [2], computer vision [3], or anomaly detection [4], have resulted in systems more easily and robustly automated than ever before.