Automated fault detection for additive manufacturing using vibration sensors
Author:
Affiliation:
1. Software/Hardware Integration Lab, Federal University of Santa Catarina, Florianópolis, Brazil
2. Federal University of Technology- Paraná, Toledo, Brazil
3. Department of Engineering and Architecture, University of Parma, Parma, Italy.
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2021.1901316
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1. 1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
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