Minimal-Configuration Anomaly Detection for IIoT Sensors
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Publisher
Springer Fachmedien Wiesbaden
Link
https://link.springer.com/content/pdf/10.1007/978-3-658-36295-9_13
Reference12 articles.
1. D. Tolani, M. Yasar, A. Ray, and V. Yang, “Anomaly detection in aircraft gas turbine engines,” Journal of Aerospace Computing, Information and Communication, vol. 3, no. 2, pp. 44–51, feb 2006.
2. A. Zaher, S. McArthur, D. Infield, and Y. Patel, “Online wind turbine fault detection through automated scada data analysis,” Wind Energy: An International Journal for Progress and Applications in Wind Power Conversion Technology, vol. 12, no. 6, pp. 574–593, 2009.
3. X. Tong, H. Yang, L. Wang, and Y. Miao, “The Development and Field Evaluation of an IoT System of Low-Power Vibration for Bridge Health Monitoring,” Sensors, vol. 19, no. 5, p. 1222, mar 2019. [Online]. Available: https://www.mdpi.com/1424-8220/19/5/1222
4. X. Zhao, G. Wei, X. Li, Y. Qin, D. Xu, W. Tang, H. Yin, X. Wei, and L. Jia, “Self-powered triboelectric nano vibration accelerometer based wireless sensor system for railway state health monitoring,” Nano Energy, vol. 34, pp. 549–555, apr 2017. [Online]. Available: https://linkinghub.elsevier.com/retrieve/pii/S2211285517301143
5. T. Bierweiler, H. Grieb, S. von Dosky, and M. Hartl, “Smart Sensing Environment – Use Cases and System for Plant Specific Monitoring and Optimization,” pp. 155–158, 2019. [Online]. Available: https://elibrary.vdiverlag.de/index.php?doi=https://doi.org/10.51202/9783181023518-155
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