Benchmarking Control Charts and Machine Learning Methods for Fault Prediction in Manufacturing-Reference-Cited by-同舟云学术

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Benchmarking Control Charts and Machine Learning Methods for Fault Prediction in Manufacturing

Published:2023 Issue: Volume: Page:545-554
ISSN:2194-0525
Container-title:Lecture Notes in Production Engineering
language:
Short-container-title:

Author:

Beckschulte S.,Mohren J.,Huebser L.,Buschmann D.,Schmitt R. H.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-18318-8_55

Reference15 articles.

1. Farokhnia, M., Niaki, S.T.A.: Principal component analysis-based control charts using support vector machines for multivariate non-normal distributions. Commun. Stat. Simul. Comput. 49(7), 1815–1838 (2020)

2. Bai, Y., et al.: A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction. J. Intell. Manuf. 30(5), 2245–2256 (2018). https://doi.org/10.1007/s10845-017-1388-1

3. Jin, J., Loosveldt, G.: Assessing response quality by using multivariate control charts for numerical and categorical response quality indicators. J. Surv. Stat. Methodol. 9(4), 674–700 (2021)

4. Schiller, M., Heftrich, C., Engel, B.: Remote production. Procedia CIRP 99, 242–243 (2021)

5. Mizgan, H., Ambruş, O.: Challenges in the automotive JIS/JIT production of steering wheels involving traceability. Acta Marisiensis. SeriaTechnologica 18(2), 42–46 (2021)

Cited by 1 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

1. Prädiktion menschlicher Fehler in der Linienmontage;Zeitschrift für wirtschaftlichen Fabrikbetrieb;2024-02-01

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