Fault Diagnosis of Rotating Machines Based on Combination of One-Dimensional Convolutional Neural Network and Long Short-Term Memory in Variable Working Conditions

Similar Items

• Hierarchical Adaptive Wavelet-Guided Adversarial Network with Physics-Informed Regularization for Generating Multiscale Vibration Signals for Deep Learning-Based Fault Diagnosis of Rotating Machines
  by: Fasikaw Kibrete, et al.
  Published: (2025-03-01)
• Experimental Investigation on the Mechanical and Physical Properties of Particleboard From Residual Materials With Lowland Bamboo Chip Composition
  by: Balemlay Alehegn Muche, et al.
  Published: (2024-01-01)
• Fault Diagnosis of Wind Turbine Blades Based on One-Dimensional Convolutional Neural Network-Bidirectional Long Short-Term Memory-Adaptive Boosting and Multi-Source Data Fusion
  by: Kangqiao Ma, et al.
  Published: (2025-03-01)
• Intelligent Fault Diagnosis of Bearing Based on Convolutional Neural Network and Bidirectional Long Short-Term Memory
  by: Dazhang You, et al.
  Published: (2021-01-01)
• A Novel Bearing Fault Diagnosis Methodology Based on SVD and One-Dimensional Convolutional Neural Network
  by: Yangyang Wang, et al.
  Published: (2020-01-01)