Fotis Kopsaftopoulos 
- : Probabilistic State Estimation Under Varying Loading States via the Integration of Time-Varying Autoregressive and Gaussian Process Models. In: Structural Health Monitoring.
- : Active sensing ultrasonic guided wave-based damage diagnosis via stochastic stationary time-series models. In: Structural Health Monitoring.
- (2023): An unsupervised online anomaly detection method for metal additive manufacturing processes via a statistical time-frequency domain algorithm. In: Structural Health Monitoring, v. 23, n. 3 (September 2023).
- (2015): Structural Health Monitoring 2015. System Reliability for Verification and Implementation.
- (2022): Gaussian process regression for active sensing probabilistic structural health monitoring: experimental assessment across multiple damage and loading scenarios. In: Structural Health Monitoring, v. 22, n. 2 (Mai 2022).
- (2014): Recent advancements and vision toward stretchable bio-inspired networks for intelligent structures. In: Structural Health Monitoring, v. 13, n. 6 (Mai 2014).
- (2016): Damage detection sensitivity characterization of acousto-ultrasound-based structural health monitoring techniques. In: Structural Health Monitoring, v. 15, n. 2 (Januar 2016).
- (2016): Adhesive bond-line degradation detection via a cross-correlation electromechanical impedance–based approach. In: Structural Health Monitoring, v. 15, n. 6 (August 2016).
- (2017): Integrity monitoring of adhesively bonded joints via an electromechanical impedance-based approach. In: Structural Health Monitoring, v. 17, n. 5 (Oktober 2017).
- (2020): Reliability of crack quantification via acousto-ultrasound active-sensing structural health monitoring using surface-mounted PZT actuators/sensors. In: Structural Health Monitoring, v. 20, n. 1 (März 2020).
Structurae kooperiert mit
