Automated Uncertainty Quantification Through Information Fusion in Manufacturing Processes-Reference-Cited by-同舟云学术

Automated Uncertainty Quantification Through Information Fusion in Manufacturing Processes

Published:2017-05-12 Issue:1 Volume:1 Page:20160007
ISSN:2520-6478
Container-title:Smart and Sustainable Manufacturing Systems
language:en
Short-container-title:Smart Sustain. Manuf. Syst.

Author:

Nannapaneni S.¹,Mahadevan S.²,Dubey A.³,Lechevalier D.⁴,Narayanan A.⁵,Rachuri S.⁶

Affiliation:

1. Dept. of Civil & Environmental Engineering, Vanderbilt Univ., Nashville, TN 37235 US

2. Dept. of Civil & Environmental Engineering, Vanderbilt Univ., Nashville, TN 37235 US (Corresponding author), e-mail: sankaran.mahadevan@vanderbilt.edu

3. Dept. of Electrical Engineering & Computer Science, Vanderbilt Univ., Nashville, TN 37235 US

4. Le2i, Université de Bourgogne, BP 47870, 21078 Dijon, FR

5. Dept. of Mechanical Engineering, Univ. of Maryland, College Park, MD 20742 US

6. Advanced Manufacturing Office, U.S Dept. of Energy, Washington D.C., 20585 US

Publisher

ASTM International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Control and Systems Engineering

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