PSI - Issue 54

Mohammad Shamim Miah et al. / Procedia Structural Integrity 54 (2024) 3–10

10

8 Author name / Structural Integrity Procedia 00 (2023) 000–000 Bull, L. A., Gardner, P., Rogers, T. J., Cross, E. J., Dervilis, N., Worden, K. 2021. Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(1), 03120003. Caspani, V. F., Tonelli, D., Poli, F., Zonta, D. 2022. Designing a Structural Health Monitoring System Accounting for Tem perature Compensation. Infrastructures, 7(1), 5. Lorenzoni, F., Casarin, F., Caldon, M., Islami, K., Modena, C. 2016. Uncertainty quantification in structural health monitoring: Applications on cultural heritage buildings. Mechanical Systems and Signal Processing, 66–67, 268–281. Putra, A., Mace, B. R. 2013. The effect of uncertainty in the excitation on the vibration input power to a structure. Advances in Acoustics and Vibration, 2013, 478389. Li, B. 2016. Uncertainty Quantification in Vibration-based Structural Health Monitoring using Bayesian Statistics. PhD Thesis, University of California, Berkeley, 142. Miah, M. S., Lienhart, W. 2023. Data-Based Prognosis and Monitoring of Civil Infrastructures. In: Rizzo, P., Milazzo, A. (eds) European Workshop on Structural Health Monitoring. EWSHM 2022. Lecture Notes in Civil Engineering, 254, 1007–1017. Li, H., Ou, J. 2011. Structural health monitoring: From sensing technology stepping to health diagnosis. Procedia Engineering, 14, 753–760.