... Abstract The growth of fatigue cracks in hydraulic components limits their lifetime. In consequence, many components are oversized for their operating life to prevent crack growth and premature component failures. As an alternative, condition monitoring prevents machine downtime by closely...

..., robustness, and fast response in early studies. In addition, the electric motor also enables the implementation of condition monitoring via Artificial Intelligence (AI) techniques such as Machine Learning (ML). This approach avoids the need for hydraulic sensors completely. This study raises the questions...

... of mixing data from the two domains. fault detection condition monitoring machine learning transfer learning Proceedings of the BATH/ASME 2022 Symposium on Fluid Power and Motion Control FPMC2022 September 14-16, 2022, Bath, UK FPMC2022-88646 FAULT DETECTION AND DIAGNOSIS FOR A HYDRAULIC PRESS...

... Abstract Developments in the field of condition monitoring for hydraulic applications have gained interest and a solid foundation ofknowledge is largely established. The interest to further develop this into prognostics has increased, as the ability to predict outages and faults implies higher...

..., compactness, and ease of maintenance, it is also capable of condition monitoring. The condition monitoring features can be obtained through indirect analysis of the existing electric motor signals (voltage and current) using artificial intelligence-based algorithms rather than by adding extra sensors, which...

... pairs such as swash plate/piston shoes, pistons/cylinder block and cylinder block/valve plate. In the scope of the project MODULAR at ifas one goal is to increase the robustness of the contact surfaces. A second goal addresses the topic of developing a condition monitoring approach to constantly track...