Mir Mohammad Ettefagh 
- : A hybrid wavelet-deep learning approach for vibration-based damage detection in monopile offshore structures considering soil interaction. Dans: Journal of Civil Structural Health Monitoring.
- (2024): Damage Detection of Gantry Crane with a Moving Mass Using Artificial Neural Network. Dans: Buildings, v. 14, n. 2 (1 février 2024).
- (2021): Detection of Damages in Mooring Lines of Spar Type Floating Offshore Wind Turbines Using Fuzzy Classification and Arma Parametric Modeling. Dans: International Journal of Structural Stability and Dynamics, v. 21, n. 8 (mai 2021).
- (2019): Fine-tuned variational mode decomposition for fault diagnosis of rotary machinery. Dans: Structural Health Monitoring, v. 19, n. 5 (octobre 2019).
- (2020): Deep neural networks–based damage detection using vibration signals of finite element model and real intact state: An evaluation via a lab-scale offshore jacket structure. Dans: Structural Health Monitoring, v. 20, n. 1 (mars 2020).
- (2019): Dynamics and Stability of Non-Planar Rigid Rotor Equipped with Two Ball-Spring Autobalancers. Dans: International Journal of Structural Stability and Dynamics, v. 19, n. 2 (février 2019).
- (2018): Multibody Dynamics of a Floating Wind Turbine Considering the Flexibility Between Nacelle and Tower. Dans: International Journal of Structural Stability and Dynamics, v. 18, n. 6 (juin 2018).
- (2015): Fault diagnosis using noise modeling and a new artificial immune system based algorithm. Dans: Earthquake Engineering and Engineering Vibration, v. 14, n. 4 (décembre 2015).
- (2014): Reliability analysis of the bridge dynamic response in a stochastic vehicle-bridge interaction. Dans: KSCE Journal of Civil Engineering, v. 19, n. 1 (juillet 2014).
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