Bayesian Estimation of Oscillator Parameters: Toward Anomaly Detection and Cyber-Physical System Security
Abstract
:1. Introduction
2. Problem Formulation
2.1. SHO Actuator
2.2. A Simplified CPS Model
2.3. Normal Versus Anomalous System Operation and Anomaly Detection
2.4. Bayesian Model
3. Proof-of-Principle Example
3.1. Experimental Test CPS
3.2. Bayesian Inference Results
3.3. Anomaly Detection
4. Discussion
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Variable | Description |
---|---|
Armature voltage | |
Back EMF voltage | |
Armature resistance | |
Armature inductance | |
Rotational inertia | |
Viscous friction | |
Motor torque constant | |
Back EMF constant |
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Lukens, J.M.; Passian, A.; Yoginath, S.; Law, K.J.H.; Dawson, J.A. Bayesian Estimation of Oscillator Parameters: Toward Anomaly Detection and Cyber-Physical System Security. Sensors 2022, 22, 6112. https://doi.org/10.3390/s22166112
Lukens JM, Passian A, Yoginath S, Law KJH, Dawson JA. Bayesian Estimation of Oscillator Parameters: Toward Anomaly Detection and Cyber-Physical System Security. Sensors. 2022; 22(16):6112. https://doi.org/10.3390/s22166112
Chicago/Turabian StyleLukens, Joseph M., Ali Passian, Srikanth Yoginath, Kody J. H. Law, and Joel A. Dawson. 2022. "Bayesian Estimation of Oscillator Parameters: Toward Anomaly Detection and Cyber-Physical System Security" Sensors 22, no. 16: 6112. https://doi.org/10.3390/s22166112
APA StyleLukens, J. M., Passian, A., Yoginath, S., Law, K. J. H., & Dawson, J. A. (2022). Bayesian Estimation of Oscillator Parameters: Toward Anomaly Detection and Cyber-Physical System Security. Sensors, 22(16), 6112. https://doi.org/10.3390/s22166112