A robust deep residual learning approach for early fault detection, diagnosis, and condition monitoring of hydraulic systems
Hydraulic systems are widely used in industrial applications due to their reliability and high power density, but they are also prone to faults that can affect performance and safety. Accurate and timely fault detection is therefore essential for maintaining system efficiency. This study presents a deep residual learni...