Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis

Multisensory data fusion-based deep learning approach for fault diagnosis of an industrial autonomous transfer vehicle

(2022) Özgür Gültekin et al.   EXPERT SYSTEMS WITH APPLICATIONS

Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework

(2022) Taotao Zhou et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A multi-layer spiking neural network-based approach to bearing fault diagnosis

(2022) Lin Zuo et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A health image for deep learning-based fault diagnosis of a permanent magnet synchronous motor under variable operating conditions: Instantaneous current residual map

(2022) Chan Hee Park et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Out-of-distribution detection-assisted trustworthy machinery fault diagnosis approach with uncertainty-aware deep ensembles

(2022) Te Han et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks

(2022) Xiang Li et al.   IEEE-CAA Journal of Automatica Sinica

AKSNet: A novel convolutional neural network with adaptive kernel width and sparse regularization for machinery fault diagnosis

(2021) Zhuang Ye et al.   JOURNAL OF MANUFACTURING SYSTEMS

Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging

(2021) Rajesh Kumar et al.   IEEE SENSORS JOURNAL

Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis

(2021) Ke Zhao et al.   KNOWLEDGE-BASED SYSTEMS

Collaborative deep learning framework for fault diagnosis in distributed complex systems

(2021) Haoxiang Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions

(2021) Wei Zhang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Data privacy preserving federated transfer learning in machinery fault diagnostics using prior distributions

(2021) Wei Zhang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges

(2021) Dinh C. Nguyen et al.   IEEE Internet of Things Journal

Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults

(2021) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

(2021) Weihua Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Robust Deep Learning Network for Low-Speed Machinery Fault Diagnosis Based on Multikernel and RPCA

(2021) Haihong Tang et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A novel unsupervised deep learning network for intelligent fault diagnosis of rotating machinery

(2020) Xiaoli Zhao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

(2020) Yi Liu et al.   IEEE Internet of Things Journal

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

(2020) Xiang Li et al.   NEURAL NETWORKS

Knowledge mapping-based adversarial domain adaptation: A novel fault diagnosis method with high generalizability under variable working conditions

(2020) Qi Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery

(2020) Xinya Wu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Federated Machine Learning

(2019) Qiang Yang et al.   ACM Transactions on Intelligent Systems and Technology

Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues

(2019) Arwa Aldweesh et al.   KNOWLEDGE-BASED SYSTEMS

Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network

(2019) Zhuyun Chen et al.   IEEE Transactions on Industrial Informatics

Multi-Objective Evolutionary Federated Learning

(2019) Hangyu Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT

(2019) Yunlong Lu et al.   IEEE Transactions on Industrial Informatics

Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders

(2018) Han Liu et al.   ISA TRANSACTIONS

Deep Model Based Domain Adaptation for Fault Diagnosis

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