A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-020-01690-y.pdf
Reference38 articles.
1. Alaei, H. K., Salahshoor, K., & Alaei, H. K. (2013). A new integrated on-line fuzzy clustering and segmentation methodology with adaptive PCA approach for process monitoring and fault detection and diagnosis. Soft Computing, 17(3), 345–362.
2. Battiti, R. (1994). Using mutual information for selecting features in supervised neural net learning. IEEE Transactions on Neural Networks, 5(4), 537–550.
3. Cadavid, J. P. U., Lamouri, S., Grabot, B., Pellerin, R., & Fortin, A. (2020). Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0. Journal of Intelligent Manufacturing, 31(6), 1531–1558.
4. Cao, W., Jiang, P., Liu, B., & Jiang, K. (2018). Real-time order scheduling and execution monitoring in public warehouses based on radio frequency identification. International Journal of Advanced Manufacturing Technology, 95(5–8), 2473–2494.
5. Cao, X., Li, T., & Wang, Q. (2019). RFID-based multi-attribute logistics information processing and anomaly mining in production logistics. International Journal of Production Research, 57(17), 5453–5466.
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