explores an advanced approach to diagnosing faults in the helicopter tail-drive system using a multi-grained hierarchical message graph convolutional network (MGH-MGCN). This method leverages the power of deep learning and graph-based models to analyze and detect faults in complex mechanical systems, with a focus on improving the reliability and safety of helicopter operations.
