This paper reviews the recent advancement made in data-driven technologies based on
SCADA data for improving wind turbines' operation and maintenance activities (eg condition …

Guided waves (GW) and acoustic emission (AE)-based structural health monitoring (SHM)
have widespread applications in structures, as the monitoring of an entire structure is …

Cross-domain machinery fault diagnosis aims to transfer enriched diagnosis knowledge
from a labeled source domain to a new unlabeled target domain. Most existing methods …

The difficulty in quantifying the benefit of Structural Health Monitoring (SHM) for decision
support is one of the bottlenecks to an extensive adoption of SHM on real-world structures …

Abstract Structural Health Monitoring (SHM) systems are adopted to acquire timely and
continuous data on the state of civil structures, aerospace vehicles, and industrial machines …

Abstract Prognostic Health Management aims to predict the Remaining Useful Life (RUL) of
degrading components/systems utilizing monitoring data. These RUL predictions form the …

In this paper, we delve into the evolving landscape of vibration-based structural damage
detection (SDD) methodologies, emphasizing the pivotal role civil structures play in society's …

Stochastic approaches to structural health monitoring (SHM) are often inevitably limited by
computational constraints. For instance, for Markov chain Monte Carlo algorithms relying …

Accurate identification of structural damage is the most critical step in structural health
monitoring. Traditional damage identification strategies are easily interfered by …

The feasible modeling of the shear-flexure coupling behavior of a shear wall is desired and
needed for long-term structural health monitoring of shear-wall structures. To address this …