Matthew Muto

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges

Pipeline deformation prediction based on multi-source monitoring information and novel data-driven model

Bayesian Updating and Model Class Selection for Hysteretic Structural Models Using Stochastic Simulation

Structural Model Updating and Health Monitoring with Incomplete Modal Data Using Gibbs Sampler