Research

Research Areas

Our work over the years has covered a variety of topics on Stochastic Mechanical and Aeronautical Systems and Automation. These include the following:

Data-based Stochastic Signal and System Mathematical Modeling & Analysis in Mechatronics

Vector signal modeling - fast methods
Long memory signal modeling
Continuous-time stochastic dynamic modeling from discrete data samples

Data-based Nonlinear Mathematical Modeling in Mechatronics

Systems with static nonlinearities - Wiener-Hammerstein modeling
Global Modeling of nonlinear systems operating under varying conditions
Mechatronic systems with friction

Vibration Based Structural Health Monitoring (SHM)

Statistical Time Series (STS) and Machine Learning (ML) methods for SHM
Robust SHM under uncertainty
Robust SHM for a population of nominally identical structures

Vehicular & Railway Mechatronic Systems

Data-based modeling of vehicular systems accounting for wheelbase filtering effects
Advanced on-board fault detection systems
Axle/Wheel/Track monitoring systems
Later stability monitoring systems
Remaining Useful Life estimation for critical components

Aircraft Mechatronic Systems

Nonlinear dynamical modeling of aircraft maneuvering
Advanced on-board diagnostic systems
Aircraft control
Air Traffic (AT) systems - Trajectory monitoring and prediction systems

Wind Energy Systems

Data-based wind turbine random vibration modeling
SHM for operating wind turbines
Monitoring of foundation structures

Random Vibration Modeling and Analysis

Random vibration signal processing and analysis
Non-stationary random vibration modeling and prediction
Functional Series Time-dependent ARMA modeling for non-stationary signals

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