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Deep Machine Learning For Structural Health Monitoring On Ship Hulls Using Acoustic Emission Method by shailender.nac.004 is a document available to read on EtoBox.
What is Deep Machine Learning For Structural Health Monitoring On Ship Hulls Using Acoustic Emission Method about?
The document discusses the use of deep machine learning for structural health monitoring of ship hulls through the acoustic emission method. It highlights the effectiveness of using a Deep Neural Network for classifying AE signals after transforming them with Discrete Cosine Transform and reducing dimensionality. The proposed method shows promise in achieving high localization accuracy for detecting structural issues like corrosion and fatigue in ship structures.
- Author
- shailender.nac.004
- Language
- EN