An artificial neural network methodology for damage detection: Demonstration on an operating wind turbine blade
This study presents a novel artificial neural network (ANN) based methodology within a
vibration-based structural health monitoring framework for robust damage detection. The …
vibration-based structural health monitoring framework for robust damage detection. The …
Interpretable machine learning in damage detection using Shapley Additive Explanations
A Movsessian, DG Cava… - … -ASME Journal of …, 2022 - asmedigitalcollection.asme.org
In recent years, machine learning (ML) techniques have gained popularity in structural
health monitoring (SHM). These have been particularly used for damage detection in a wide …
health monitoring (SHM). These have been particularly used for damage detection in a wide …
On explicit and implicit procedures to mitigate environmental and operational variabilities in data-driven structural health monitoring
D García Cava, LD Avendaño-Valencia… - … Health Monitoring Based …, 2022 - Springer
Abstract Vibration-based Structural Health Monitoring (VSHM) is becoming one of the most
commonly used methods for damage diagnosis and long term monitoring. In data-driven …
commonly used methods for damage diagnosis and long term monitoring. In data-driven …
Polynomial Chaos-Kriging metamodel for quantification of the debonding area in large wind turbine blades
B Pavlack, J Paixão, S Da Silva… - Structural Health …, 2022 - journals.sagepub.com
This study aims to investigate the performance of a data-driven methodology for quantifying
damage based on the use of a metamodel obtained from the Polynomial Chaos-Kriging …
damage based on the use of a metamodel obtained from the Polynomial Chaos-Kriging …
[HTML][HTML] Machine learning and cointegration for structural health monitoring of a model under environmental effects
M Rodrigues, VL Miguéis, C Felix… - Expert Systems with …, 2024 - Elsevier
Data-driven models have been recognized as powerful tools to support Structural Health
Monitoring (SHM). This paper contributes to the literature by exploring two data-driven …
Monitoring (SHM). This paper contributes to the literature by exploring two data-driven …
Development of Robust, Data-Driven, Damage Identification Techniques for the Passive Acoustics-Based Structural Health Monitoring of Wind Turbine Blades
J Solimine - 2022 - search.proquest.com
Reliable structural health monitoring (SHM) systems for wind turbine blades are becoming
an increasingly emergent need as installed wind power capacity increases around the …
an increasingly emergent need as installed wind power capacity increases around the …