Interpretable predictive maintenance for hard drives

Existing machine learning approaches for data-driven predictive maintenance are usually black boxes that claim high predictive power yet cannot be understood by humans. This limits the ability of humans to use these models to derive insights and understanding of the underlying failure mechanisms, an...

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Bibliographic Details
Main Authors: Maxime Amram, Jack Dunn, Jeremy J. Toledano, Ying Daisy Zhuo
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Machine Learning with Applications
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827021000219