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Aug 2026
Artificial Neural Network-Based Diagnosis of Wind Turbine Blade Faults Using Vibration Analysis at Constant Operational Speed
Wind turbine blade faults, such as surface erosion, cracks, mass imbalance, and twist deformation, significantly compromise operational efficiency and reliability, thereby increasing maintenance costs. This research presents an artificial neural network (ANN)-based diagnostic approach for identifying five distinct faul...
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· Terra Joule Journal · 2 citations
Aug 2026
Fault diagnosis of small sample wind turbine blade in ice-covered and damage condition based on ResNet50-SVM and transfer learning
Wind turbine blade failures, such as icing and damage, risk safety and efficiency, but limited fault data hinders diagnosis. This study proposes a hybrid framework combining ResNet50-SVM and transfer learning for small-sample fault diagnosis. A coupled simulation model first generates comprehensive dynamic fault data....
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Open access
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Vibration-based fault detection and classification in a jacket-type offshore wind turbine using supervised machine learning
Structural health monitoring of jacket-type substructures of offshore wind turbines is key to ensuring their availability under limited access and combined wind–wave loading. This work presents a functional horizontal-axis wind turbine prototype on a modular, demountable A36-steel jacket substructure inspired by the OW...
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2026
Prediction and Classification of Residual Service Life in Wind Turbine Bearings Under Variable Speed Conditions Using Hybrid Machine Learning Models
A hybrid methodology for classifying degradation stages and estimating a relative RUL-related degradation indicator for bearings is proposed by integrating synthetic data modeling, feature selection, and a combined unsupervised–supervised learning approach, offering a reliable and scalable solution for predictive maint...
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Aug 2026
Multi-Dimensional Entropy for Vibration Data Quality Control in Wind Turbines: Properties, Deployment, and Industrial Implications
Erroneous vibration signals caused by sensor malfunction, shutdown transients, and abnormal acquisition conditions can degrade the reliability of automated industrial monitoring pipelines. This paper presents a deployment-oriented analysis of Multi-Dimensional Entropy (MDE) for vibration data quality control in wind tu...
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Open access
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MPA-Net: A multi-fault diagnosis algorithm for wind turbine blades based on multi-path feature fusion
Wind turbine blades, as critical components of modern wind power systems, are subjected to variable loads and harsh environmental conditions over extended periods, making them susceptible to surface contamination, leading-edge erosion, coating delamination, and other damage. Failure to detect these defects in a timely...
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