Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning
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DOI: 10.1109/tii.2019.2927590
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 develop effective diagnostic method with insufficient… read more here.
Keywords: rotating machines; machines weakly; supervised data; transfer learning ... See more keywords