相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Maximum Density Divergence for Domain Adaptation
Jingjing Li et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)
Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach
Zhenghua Chen et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)
Remaining useful lifetime prediction via deep domain adaptation
Paulo Roberto de Oliveira da Costa et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network
Ruonan Liu et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
Predicting Remaining Useful Life of Rolling Bearings Based on Deep Feature Representation and Transfer Learning
Wentao Mao et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Knowledge Transfer for Rotary Machine Fault Diagnosis
Ruqiang Yan et al.
IEEE SENSORS JOURNAL (2020)
Estimation of Bearing Remaining Useful Life Based on Multiscale Convolutional Neural Network
Jun Zhu et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Transfer Independently Together: A Generalized Framework for Domain Adaptation
Jingjing Li et al.
IEEE TRANSACTIONS ON CYBERNETICS (2019)
Recent Advances in Key-Performance-Indicator Oriented Prognosis and Diagnosis With a MATLAB Toolbox: DB-KIT
Yuchen Jiang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data
Liang Guo et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Joint Learning of Degradation Assessment and RUL Prediction for Aeroengines via Dual-Task Deep LSTM Networks
Huihui Miao et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Heterogeneous Domain Adaptation Through Progressive Alignment
Jingjing Li et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions
Cheng-Geng Huang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Locality Preserving Joint Transfer for Domain Adaptation
Jingjing Li et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)
Deep learning and its applications to machine health monitoring
Rui Zhao et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Deep Coupling Autoencoder for Fault Diagnosis With Multimodal Sensory Data
Meng Ma et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
A review on the application of deep learning in system health management
Samir Khan et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Deep visual domain adaptation: A survey
Mei Wang et al.
NEUROCOMPUTING (2018)
Remaining useful life estimation in prognostics using deep convolution neural networks
Xiang Li et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)
Using Deep Learning-Based Approach to Predict Remaining Useful Life of Rotating Components
Jason Deutsch et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2018)
Feature Denoising and Nearest-Farthest Distance Preserving Projection for Machine Fault Diagnosis
Weihua Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2016)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)
分享论文
