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 …

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 …

Damage identification of wind turbine blades using the microphone array under different parametric and measuring conditions: A prototype study with laboratory-scale …

S Sun, T Wang, H Yang, F Chu - Structural Health …, 2023 - journals.sagepub.com
Structural health monitoring (SHM) of wind turbine blades is significant to the reliability and
efficiency of wind energy generation, and it is a challenging issue due to the complicated …

Split-point and attribute-reduced classifier approach for fault diagnosis of wind turbine blade through vibration signals

A Joshuva, M Arjun, BS Adhithya… - IOP Conference …, 2020 - iopscience.iop.org
This study proposes a data processing and analysis of wind turbine blade faults using split-
point and attribute-reduced classifier (SPAARC) through statistical-machine learning …

[PDF][PDF] Understanding and exploring virtual sensing and its capabilities for structural health monitoring

ASA Pereira - 2021 - run.unl.pt
The increase in size and complexity of wind turbine blades makes maintenance and repair
works harder to perform. Implementing a Structural Health Monitoring (SHM) process, so that …