On Bringing Fault Detection to Skill-Based Production
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-57496-2_3
Reference21 articles.
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2. Kagermann, H., Wahlster, W., Helbig, J.: Recommendations for implementing the strategic initiative INDUSTRIE 4.0. Final report of the Industrie 4.0 Working Group. Forschungsunion, Berlin (2013)
3. Ruskowski, M., et al.: Production Bots für Production Level 4. atp 62, 62–71 (2020)
4. Wilhelm, Y., Reimann, P., Gauchel, W., Mitschang, B.: Overview on hybrid approaches to fault detection and diagnosis: combining data-driven, physics-based and knowledge-based models. Procedia CIRP 99, 278–283 (2021)
5. Isermann, R., Ballé, P.: Trends in the application of model-based fault detection and diagnosis of technical processes. Control. Eng. Pract.Pract. 5, 709–719 (1997)
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