Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization-Reference-Cited by-同舟云学术

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Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization

Published:2021-08-23 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)
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Author:

Guidetti Xavier,Rupenyan Alisa,Fassl Lutz,Nabavi Majid,Lygeros John

Funder

Swiss Innovation Agency (Innosuisse)

Swiss National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9551387/9551265/09551499.pdf?arnumber=9551499

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Improving Coating Repeatability by Parameter Adaptation Through Process Monitoring, Gaussian Process Models and Kalman Filters;2024

3. An Organized Review of Machine Learning (ML) Perspectives in Manufacturing and Quality Control Processes;2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC);2023-12-19

4. Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements;IFAC-PapersOnLine;2023

5. Spraying Parameters Selection Based on Predicted Equipment Status: A Study on Measured Voltage;Journal of Thermal Spray Technology;2022-12-02

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