Deep Learning Enable Diagnostics and Prognostics of Machine Health Condition

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Published Sep 22, 2019
Wo Jae Lee John W. Sutherland

Abstract

This paper presents an overview of the first author’s research being conducted and future research plans for the rest of PhD career. The content of this paper was presented at the PHM 2019 Doctoral Symposium, which was a part of the program at the 11th Annual Conference of the Prognostic and Health Management Society held in Scottsdale, Arizona from September 21-26, 2019. The paper covers the development and application of data-driven approaches to machine health management.

How to Cite

Lee, W. J., & Sutherland, J. W. (2019). Deep Learning Enable Diagnostics and Prognostics of Machine Health Condition. Annual Conference of the PHM Society, 11(1). https://doi.org/10.36001/phmconf.2019.v11i1.919
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Keywords

Doctoral Symposium

Section
Doctoral Symposium Summaries