A Lightweight Kernel Density Estimation and Adaptive Synthetic Sampling Method for Fault Diagnosis of Rotating Machinery with Imbalanced Data

Computer Science

• Computational Resource 66%
• Convolutional Neural Network 33%
• Decision Boundary 33%
• Experimental Result 33%
• Fast Fourier Transform 33%
• Fault Diagnosis 100%
• Feature Extraction 33%
• Frequency Domain 33%
• Imbalance Ratio 33%
• Imbalanced Data 100%
• Industrial Application 33%
• Industrial Production 33%
• Intelligent Fault Diagnosis 33%
• Network Parameter 33%
• Neural Network Model 33%
• Reliable Operation 33%
• Resource Requirement 33%
• Sampling Algorithm 33%
• Time Monitoring 33%