A critical overview of non-stationary random vibration modelling and analysis via the class of
Functional Series Time-dependent AutoRegressive Moving Average (FS-TARMA) models is …

The problem of stationary and non-stationary random vibration modelling and analysis for
an operating wind turbine is considered by using an acceleration vibration signal measured …

Structural Health Monitoring (SHM) is the monitoring of any type of structure for the express
purpose of determining its condition and future lifespan and if, when and where any …

With an annual growth rate of about 30%, wind energy systems, such as wind turbines,
represent one of the fastest growing renewable energy technologies. Continuous structural …

Functional series time-dependent autoregressive moving average (FS-TARMA) models are
characterized by time varying parameters which are projected onto selected functional …

The identification of the operational Wind Turbine (WT) dynamics is a challenging problem,
due to both the complex dynamics and the non-stationarity of the vibration response. In this …

The in–operation output–only identification of wind turbine structural dynamics is considered
using a vibration acceleration signal measured on a Neg Micon NM52/900 wind turbine …

The functional-series angle-/time-varying autoregressive moving-average (AT-FS-ARMA)
model was used to model and analyze vibration-based signals from internal combustion …

Early detection of looseness in bolted flanges is crucial for safety in the oil and gas
industries. Failure to do so could result in catastrophic accidents like leakage and …

The main topic of this research work is the development of algorithms for vibration-based
output-only modeling, time-frequency analysis and health monitoring of structures with non …