Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …

Wind turbine structures are key components for modern transformation into free energy and
greener environment. In recent years, a rapid growth in the development and installation of …

This study presents a novel artificial neural network (ANN) based methodology within a
vibration-based structural health monitoring framework for robust damage detection. The …

In this article, a feasibility study has been carried out in order to detect structural faults in the
blade by analyzing the tower vibration. A 5-MW onshore wind turbine was modeled using …

Abstract Today, the Structural Health Monitorin (SHM) methodology is the main way to deal
with the detection and identification of damages in a range of engineering sectors, mainly in …

The analysis presented in this work relates to the quantification of the effect of a selected set
of measured Environmental and Operational Parameters (EOPs) on the dynamic properties …

Conventional fault detection methods for wind turbine (WT) generators often grapple with
inadequate warning times and poor portability. These issues contribute to heightened safety …

In industry (eg, wind power), gearboxes often operate under random speed variations. A
condition monitoring system is expected to detect faults and assess their severity using …

Gearboxes often operate under variable speed condition which makes the collected
vibration signal, a widely employed type of condition monitoring data, becomes non …

Structural health monitoring (SHM) has been increasingly exploited in recent years as a
valuable tool for assessing performance throughout the life cycle of structural systems, as …