Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

Rotating machinery fault diagnosis problems have been well-addressed when sufficient supervised data of the tested machine are available using the latest data-driven methods. However, it is still challenging to develop effective diagnostic method with insufficient training data, which is highly dema... View More