Application of multi-source information fusion and graph neural networks in fault localization for complex agricultural machinery systems
The modern agricultural equipment needs to be able to cope with changes in field conditions, however, fault detection is still challenging for the time being with the traditional rule based or single sensor based diagnostic procedures. These methods frequently do not reflect data interactions and interdependencies with...