A novel deep multi-source domain adaptation framework for bearing fault diagnosis based on feature-level and task-specific distribution alignment

Deep balanced domain adaptation neural networks for fault diagnosis of planetary gearboxes with limited labeled data

(2020) Qikang Li et al.   MEASUREMENT

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis with Unlabeled or Insufficient Labeled Data

(2020) Cheng Cheng et al.   NEUROCOMPUTING

Deep learning for prognostics and health management: State of the art, challenges, and opportunities

(2020) Behnoush Rezaeianjouybari et al.   MEASUREMENT

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

(2019) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A new hybrid deep signal processing approach for bearing fault diagnosis using vibration signals

(2019) Miao He et al.   NEUROCOMPUTING

A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings

(2019) Meidi Sun et al.   MEASUREMENT

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

(2019) Wei Zhang et al.   MEASUREMENT

Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation

(2019) Xiang Li et al.   NEUROCOMPUTING

Deep transfer network for rotating machine fault analysis

(2019) Weiwei Qian et al.   PATTERN RECOGNITION

Coupled local–global adaptation for multi-source transfer learning

(2018) Jieyan Liu et al.   NEUROCOMPUTING

A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines

(2018) Feng Jia et al.   NEUROCOMPUTING

A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning

(2018) Xiang Li et al.   NEUROCOMPUTING

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults

(2018) Te Han et al.   KNOWLEDGE-BASED SYSTEMS

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

(2018) Chuang Sun et al.   IEEE Transactions on Industrial Informatics

Multi-Layer domain adaptation method for rolling bearing fault diagnosis

(2018) Xiang Li et al.   SIGNAL PROCESSING

Deep Model Based Domain Adaptation for Fault Diagnosis

(2017) Weining Lu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A survey of multi-source domain adaptation

(2015) Shiliang Sun et al.   Information Fusion

Sliced and Radon Wasserstein Barycenters of Measures

(2014) Nicolas Bonneel et al.   JOURNAL OF MATHEMATICAL IMAGING AND VISION

Domain Adaptation via Transfer Component Analysis

(2010) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS