Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods

Engineering

• Feature Extraction 100%
• Pressure Vessel 100%
• Deep Learning Method 100%
• Deep Neural Network 66%
• Acoustic Emission 50%
• Genetic Algorithm 33%
• Frequency Domain 33%
• Early Stage 16%
• Liquid Gas 16%
• Experimental Result 16%
• Classification Accuracy 16%
• Classification Performance 16%
• Time Domain 16%
• Objective Function 16%
• Crack Identification 16%
• Genetic Algorithm Method 16%
• Extraction Process 16%

Chemical Engineering

• Deep Learning Method 100%
• Deep Neural Network 100%