Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning
Abstract 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 …
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