In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …

Plain weave composite is a long-lasting type of fabric composite that is stable enough when
being handled. Open-hole composites have been widely used in industry, though they have …

To improve the efficiency and reliability of wind power generation, condition monitoring of
wind turbines has drawn extensive attention worldwide. However, blade health monitoring is …

The scope of this article is to review the potential causes that can lead to wind turbine blade
failures, assess their significance to a turbine's performance and secure operation and …

Blades are critical components in wind turbines (WTs) for power generation, and condition
monitoring (CM) of WT blades is a crucial and challenging issue under operating conditions …

Rapidly evolving renewable energy generation technologies and the ever-increasing scale
of renewable energy installations are driving the need for more accurate, faster, and smarter …

This article evaluates the present global condition of solar and wind energy adoption and
explores their benefits and limitations in meeting energy needs. It examines the historical …

This paper proposes a Bayesian framework based on particle filters for online fatigue
damage diagnosis and prognosis for wind turbine blades (WTBs). The framework integrates …

Bridge damage detection using vibration data has been confirmed as a promising approach.
Compared to the traditional method that typically needs to install sensors or systems directly …