Collaborative deep learning framework for fault diagnosis in distributed complex systems

Attention Recurrent Neural Network-Based Severity Estimation Method for Interturn Short-Circuit Fault in Permanent Magnet Synchronous Machines

(2020) Hojin Lee et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault Detection and Isolation in Industrial Processes Using Deep Learning Approaches

(2019) Rahat Iqbal et al.   IEEE Transactions on Industrial Informatics

A Novel Deep Learning Network via Multiscale Inner Product With Locally Connected Feature Extraction for Intelligent Fault Detection

(2019) Tongyang Pan et al.   IEEE Transactions on Industrial Informatics

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

(2019) Zhi Zhou et al.   PROCEEDINGS OF THE IEEE

Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

(2019) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Privacy-Preserving Database Assisted Spectrum Access for Industrial Internet of Things: A Distributed Learning Approach

(2019) Mengyuan Zhang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Data-Driven Modeling Based on Two-Stream ${\rm{\lambda }}$ Gated Recurrent Unit Network With Soft Sensor Application

(2019) Ruimin Xie et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep Residual Shrinkage Networks for Fault Diagnosis

(2019) Minghang Zhao et al.   IEEE Transactions on Industrial Informatics

Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis

(2019) Huan Wang et al.   IEEE Transactions on Industrial Informatics

Federated learning of predictive models from federated Electronic Health Records

(2018) Theodora S. Brisimi et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

A review on the application of deep learning in system health management

(2018) Samir Khan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Wind turbine fault detection and classification by means of image texture analysis

(2018) Magda Ruiz et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An unsupervised spatiotemporal graphical modeling approach for wind turbine condition monitoring

(2018) Wenguang Yang et al.   RENEWABLE ENERGY

An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems

(2018) Te Han et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of wind turbine based on Long Short-term memory networks

(2018) Jinhao Lei et al.   RENEWABLE ENERGY

Energy Internet: The business perspective

(2016) Kaile Zhou et al.   APPLIED ENERGY

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

Review on wind power development in China: Current situation and improvement strategies to realize future development

(2015) Shengpeng Sun et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Robust Fault Detection of Wind Energy Conversion Systems Based on Dynamic Neural Networks

(2014) Nasser Talebi et al.   Computational Intelligence and Neuroscience

Global geometric similarity scheme for feature selection in fault diagnosis

(2013) Chao Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fault-Tolerant Control of Wind Turbines: A Benchmark Model

(2013) Peter Fogh Odgaard et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY