- Bridge Damage Detection Using Ambient Loads by Bayesian Hypothesis Testing for a Parametric Subspace of an Autoregressive Model. In: Structural Control and Health Monitoring, v. 2023 (Februar 2023). (2023):
- Data Normalization and Anomaly Detection in a Steel Plate-Girder Bridge Using LSTM. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 8, n. 1 (März 2022). (2022):
- Vibration-Based Damage Detection for a Prestressed Concrete Box Girder by Means of Subspace Analysis. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 7, n. 4 (Dezember 2021). (2021):
- Ambient and Vehicle-Induced Vibration Data of a Steel Truss Bridge Subject to Artificial Damage. In: Journal of Bridge Engineering (ASCE), v. 26, n. 7 (Juli 2021). (2021):
- Efficient Bayesian FFT method for damage detection using ambient vibration data with consideration of uncertainty. In: Structural Control and Health Monitoring, v. 28, n. 2 (Oktober 2020). (2020):
- Damage detection of a truss bridge utilizing a damage indicator from multivariate autoregressive model. In: Journal of Civil Structural Health Monitoring, v. 7, n. 2 (April 2017). (2017):