A double-layer attention based adversarial network for partial transfer learning in machinery fault diagnosis

Domain adaptive deep belief network for rolling bearing fault diagnosis

(2020) Changchang Che et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks

(2020) Xiang Li et al.   NEURAL NETWORKS

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 novel deep stacking least squares support vector machine for rolling bearing fault diagnosis

(2019) Xin Li et al.   COMPUTERS IN INDUSTRY

Fault diagnostics between different type of components: A transfer learning approach

(2019) Xudong Li et al.   APPLIED SOFT COMPUTING

Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform

(2019) Pengfei Liang et al.   COMPUTERS IN INDUSTRY

Machinery fault diagnosis with imbalanced data using deep generative adversarial networks

(2019) Wei Zhang et al.   MEASUREMENT

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2018) Xiang Li et al.   NEUROCOMPUTING

Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning

(2018) Pei Cao et al.   IEEE Access

A deep learning driven method for fault classification and degradation assessment in mechanical equipment

(2018) Zhe Li et al.   COMPUTERS IN INDUSTRY

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

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

Transfer Learning With Neural Networks for Bearing Fault Diagnosis in Changing Working Conditions

(2017) Ran Zhang et al.   IEEE Access