Triplet metric driven multi-head GNN augmented with decoupling adversarial learning for intelligent fault diagnosis of machines under varying working condition

STGSN — A Spatial–Temporal Graph Neural Network framework for time-evolving social networks

(2021) Shengjie Min et al.   KNOWLEDGE-BASED SYSTEMS

Syntax-type-aware graph convolutional networks for natural language understanding

(2021) Chunning Du et al.   APPLIED SOFT COMPUTING

Making costly manufacturing smart with transfer learning under limited data: A case study on composites autoclave processing

(2021) Milad Ramezankhani et al.   JOURNAL OF MANUFACTURING SYSTEMS

Deep multi-scale adversarial network with attention: A novel domain adaptation method for intelligent fault diagnosis

(2021) Bo Zhao et al.   JOURNAL OF MANUFACTURING SYSTEMS

Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification

(2021) Yong Feng et al.   KNOWLEDGE-BASED SYSTEMS

A novel deep metric learning model for imbalanced fault diagnosis and toward open-set classification

(2021) Cunjun Wang et al.   KNOWLEDGE-BASED SYSTEMS

Differentiable neural architecture search augmented with pruning and multi-objective optimization for time-efficient intelligent fault diagnosis of machinery

(2021) Kaiyu Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life estimation using deep metric transfer learning for kernel regression

(2021) Yifei Ding et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Data synthesis using deep feature enhanced generative adversarial networks for rolling bearing imbalanced fault diagnosis

(2021) Shaowei Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis

(2020) Kaiyu Zhang et al.   JOURNAL OF MANUFACTURING SYSTEMS

A fault-tolerant control strategy for multiple automated guided vehicles

(2020) Marcin Witczak et al.   JOURNAL OF MANUFACTURING SYSTEMS

Deep learning-based adversarial multi-classifier optimization for cross-domain machinery fault diagnostics

(2020) Xiang Li et al.   JOURNAL OF MANUFACTURING SYSTEMS

Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network

(2020) Liang Hu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Intelligent acoustic-based fault diagnosis of roller bearings using a deep graph convolutional network

(2020) Dingcheng Zhang et al.   MEASUREMENT

Graph-based neural networks for explainable image privacy inference

(2020) Guang Yang et al.   PATTERN RECOGNITION

A novel ResNet-based model structure and its applications in machine health monitoring

(2020) Jian Duan et al.   JOURNAL OF VIBRATION AND CONTROL

Double-level adversarial domain adaptation network for intelligent fault diagnosis

(2020) Jinyang Jiao et al.   KNOWLEDGE-BASED SYSTEMS

Multi-scale deep intra-class transfer learning for bearing fault diagnosis

(2020) Xu Wang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Fault diagnosis for underdetermined multistage assembly processes via an enhanced Bayesian hierarchical model

(2020) Dewen Yu et al.   JOURNAL OF MANUFACTURING SYSTEMS

A Multi-Fault Detection Method With Improved Triplet Loss Based on Hard Sample Mining

(2020) Fuming Qu et al.   IEEE Transactions on Sustainable Energy

Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions

(2019) Md Junayed Hasan et al.   MEASUREMENT

An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis

(2019) Wenyi Huang et al.   NEUROCOMPUTING

Deep Metric Learning: A Survey

(2019) Kaya et al.   Symmetry-Basel

Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples

(2019) Zhiyi He et al.   KNOWLEDGE-BASED SYSTEMS

Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition

(2019) Jun Yu et al.   IEEE Transactions on Neural Networks and Learning Systems

LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification

(2018) Jun Pan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks

(2018) Xiang Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Multi-Layer domain adaptation method for rolling bearing fault diagnosis

(2018) Xiang Li et al.   SIGNAL PROCESSING