Adaptable functional series TARMA models for non-stationary signal representation and their application to mechanical random vibration modeling
Non-stationary Adaptable Functional Series TARMA models are introduced. The models basis functions are adaptable to the signal modeled. An effective identification method is introduced based on separable NLS. The method's performance is assessed via a Monte Carlo study and comparisons. The method is applied to the modeling of non-stationary vibration of a mechanism.
non-stationary signals time-frequency methods non-stationary random vibration functional series models separable non-linear least squares adaptable basis functions time-varying mechanical structures