JOURNAL ARTICLE

Wind Turbine Blades Fault Diagnosis Based on Vibration Signals Utilizing Convolutional Neural Network

Abstract

International audience

Keywords:
Convolutional neural network Fault (geology) Vibration Computer science Turbine Artificial neural network Wind power Condition monitoring Turbine blade Artificial intelligence Acoustics Engineering Geology Mechanical engineering Electrical engineering Seismology Physics

Metrics

1
Cited By
0.64
FWCI (Field Weighted Citation Impact)
22
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Machine Fault Diagnosis Techniques
Physical Sciences →  Engineering →  Control and Systems Engineering
Engineering Diagnostics and Reliability
Physical Sciences →  Engineering →  Mechanics of Materials
Advanced Measurement and Detection Methods
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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