Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue

MLA

Kalia, Subodh, et al. “Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue.” Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, vol. 4, no. 4, Nov. 2021, p. 041011. EBSCOhost, https://doi.org/10.1115/1.4051903.

APA

Kalia, S., Zeitler, J., Mohan, C. K., & Weiss, V. (2021). Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, 4(4), 041011. https://doi.org/10.1115/1.4051903

Chicago

Kalia, Subodh, Jakob Zeitler, Chilukuri K. Mohan, and Volker Weiss. 2021. “Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue.” Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems 4 (4): 041011. doi:10.1115/1.4051903.