spatio-temporal graph neural networks

Fault Diagnosis of Rotating Machinery Based on Spatio-Temporal Graph Neural Networks and Multi-Sensor Feature Fusion (Python)

by
Fault Diagnosis of Rotating Machinery Based on Spatio-Temporal Graph Neural Networks and Multi-Sensor Feature Fusion (Python)

First, the raw vibration signals are preprocessed, including signal segmentation, normalization, and feature extraction, from which 11 statistical features are extracted in both time and frequency domains. Then, the multi-sensor system is modeled as a graph structure, where sensors are represented as nodes and the physical connections between sensors are represented as edges, with the … Read more