文章名稱(chēng)引用次數(shù)

• Deep learning and its applications to machine health monitoring251
• Artificial intelligence for fault diagnosis of rotating machinery: A review200
• Machinery health prognostics: A systematic review from data acquisition to RUL prediction163
• A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load132
• A review on the application of deep learning in system health management122
• Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization81
• An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings78
• A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders63
• Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing60
• A review on data-driven fault severity assessment in rolling bearings59