Research

Infrastructure Status Awareness Using System Dynamics

System state-space will migrate toward the dynamic attractor under a steady-state condition, which is uniquely the geometric representation of system dynamics. As attractors will vary as the system changes, capturing the change of attractors fosters the capability of infrastructure status awareness. Due to the huge dimensionality of real systems, structural state-space is reconstructed from incomplete measurements based on mathematical embedding.

Apply features extracted from reconstructed state-space , damages of various infrastructures are detected and localized, as well as evaluated in terms of the severity of the defects. The algorithm for status awareness is suitable not only to deterministic chaotic excitation, but also random noise input.