Machine Learning | Mechanical Engineering The Fault Diagnosis of Rolling Bearings Is Conducted by Employing a Dual-Branch Convolutional Capsule Neural Network. June 19, 2024
Machine Learning | Mechanical Engineering Deep Reconstruction Transfer Convolutional Neural Network for Rolling Bearing Fault Diagnosis. April 13, 2024
Industrial Engineering | Mechanical Engineering | Predictive Maintenance Anomaly-informed remaining useful life estimation (AIRULE) of bearing machinery using deep learning framework. January 31, 2024
Machine Learning | Mechanical Engineering | Predictive Maintenance Remaining Useful Life Prediction of Rolling Bearings Based on ECA-CAE and Autoformer. January 22, 2024
Anomaly Detection | Fault Diagnosis | Mechanical Engineering A New Dual-Input Deep Anomaly Detection Method for Early Faults Warning of Rolling Bearings. September 28, 2023
Mechanical Engineering WPD-Enhanced Deep Graph Contrastive Learning Data Fusion for Fault Diagnosis of Rolling Bearing. July 29, 2023
Machine Learning | Mechanical Engineering A Deep Learning Method for Rolling Bearing Fault Diagnosis Based on Attention Mechanism and Graham Angle Field. July 8, 2023
Other Remaining Useful Life Prediction of Rolling Bearings Based on Multi-Scale Attention Residual Network. May 27, 2023
Fault Diagnosis | Mechanical Engineering PeriodNet: Noise-Robust Fault Diagnosis Method Under Varying Speed Conditions. May 22, 2023
Industrial Engineering | Mechanical Engineering A Sound and Vibration Fusion Method for Fault Diagnosis of Rolling Bearings under Speed-Varying Conditions. March 30, 2023
Mechanical Engineering | Predictive Maintenance | Reliability Engineering Remaining Useful Life Prediction of Rolling Bearings Using GRU-DeepAR with Adaptive Failure Threshold. February 11, 2023
Data Science | Mechanical Engineering The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings. August 15, 2022