Planetary Gearbox

Planetary gearboxes are complex mechanical systems whose reliable operation is crucial across numerous industries. Current research focuses on improving fault detection and diagnosis, particularly addressing challenges like data scarcity and varying operating conditions. This involves developing advanced signal processing techniques (e.g., using variable mode decomposition and time synchronous averaging) and applying machine learning models, such as convolutional neural networks and autoencoders, often coupled with data augmentation strategies to enhance robustness and accuracy. These advancements contribute to improved predictive maintenance, reducing downtime and increasing the lifespan of these critical components.