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Journal Published Online: 11 June 2020
Volume 4, Issue 2

Benchmarking Deep Neural Network Architectures for Machining Tool Anomaly Detection

CODEN: SSMSCY

Abstract

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Author Information

Puranik, Tejas
Georgia Institute of Technology, Daniel Guggenheim School of Aerospace Engineering, Atlanta, GA, USA
Gharbi, Aroua
Georgia Institute of Technology, Daniel Guggenheim School of Aerospace Engineering, Atlanta, GA, USA
Bagdatli, Burak
Georgia Institute of Technology, Daniel Guggenheim School of Aerospace Engineering, Atlanta, GA, USA
Fischer, Olivia Pinon
Georgia Institute of Technology, Daniel Guggenheim School of Aerospace Engineering, Atlanta, GA, USA
Mavris, Dimitri N.
Georgia Institute of Technology, Daniel Guggenheim School of Aerospace Engineering, Atlanta, GA, USA
Pages: 25
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Stock #: SSMS20190039
ISSN: 2520-6478
DOI: 10.1520/SSMS20190039