most citedAn Explainable Deep Learning-based Prognostic Model for Rotating Machinery

11 citations · 11 across the 1 of their papers we have counts for

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1 paper

cs.LG2020★ 11 cited

An Explainable Deep Learning-based Prognostic Model for Rotating Machinery

Namkyoung Lee, Michael H. Azarian, Michael G. Pecht

This paper develops an explainable deep learning model that estimates the remaining useful lives of rotating machinery. The model extracts high-level features from Fourier transfor…