How can bearing damage in large engines be detected before it leads to costly failures? This article explores how advanced sensor technologies, simulations, and machine learning can improve the condition monitoring of sliding bearings. Experimental investigations show promising results for the early detection of critical operating conditions, paving the way for predictive maintenance.