The review emphasis on the innovative methods of utilizing the Acoustic Emission (AE)
parameters in characterizing Fiber Reinforced Plastics (FRPs). This review is structured into …

Online early detection of surface damages on blades is critical for the safety of wind turbines,
which could avoid catastrophic failures, minimize downtime, and enhance the reliability of …

The development of a viable structural health monitoring (SHM) technology for the
operational condition monitoring of wind turbine blades is of great interest to the wind …

In this paper, the estimation of the remaining useful life (RUL) of angular contact ball bearing
using time-domain signal processing method is discussed. An experimental setup based on …

Abstract Machine condition monitoring is considered as an important diagnostic and
maintenance strategy to ensure product quality and reduce manufacturing cost. However …

A laboratory study is reported regarding fatigue damage growth monitoring in a complete
45.7 m long wind turbine blade typically designed for a 2 MW generator. The main purpose …

An important objective of acoustic emission (AE) non-destructive monitoring is to accurately
identify approaching critical damage and to avoid premature failure by means of the …

Interest in damage mode classification of composite structures by Acoustic Emission (AE)
inspection technique and clustering analysis by machine learning has been increasingly …

For the propose of improving the economic benefits of wind turbine utilization, an image
recognition model based on deep learning called 'Multivariate Information You Only Look …

This papers aims to characterize the influence of moisture uptake on the mechanical
behaviour of unidirectional flax fibre-reinforced epoxy laminates. Monotonic and cyclic …