Spatial randomness-based anomaly detection approach for monitoring local variations in multimode surface topography
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-023-05468-2.pdf
Reference38 articles.
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2. Baek, J., Jeong, M. K., & Elsayed, E. A. (2020). Residual-based surface segmentation for monitoring topographic variations. IEEE Transactions on Automation Science and Engineering, 19(1), 280–294.
3. Baek, J., Jeong, M. K., & Elsayed, E. A. (2023). Monitoring variations in multimode surface topography. International Journal of Production Research, 61(4), 1129–1145.
4. Bauckhage, C. (2014). Computing the Kullback-Leibler divergence between two generalized gamma distributions. arXiv preprint arXiv:.
5. Bhushan, B. (2000). Surface roughness analysis and measurement techniques. In Modern Tribology Handbook, Two Volume Set (pp. 79–150): CRC press.
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