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。Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives
Hongtian Chen et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)
Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis
Tianfu Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)
Novel Efficient RNN and LSTM-Like Architectures: Recurrent and Gated Broad Learning Systems and Their Applications for Text Classification
Jie Du et al.
IEEE TRANSACTIONS ON CYBERNETICS (2021)
Recurrent Broad Learning Systems for Time Series Prediction
Meiling Xu et al.
IEEE TRANSACTIONS ON CYBERNETICS (2020)
Semi-Supervised Broad Learning System Based on Manifold Regularization and Broad Network
Huimin Zhao et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS (2020)
Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks
Gaowei Xu et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Composite-Graph-Based Sparse Subspace Clustering for Machine Fault Diagnosis
Chuang Sun et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Applications of machine learning to machine fault diagnosis: A review and roadmap
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Broad Convolutional Neural Network Based Industrial Process Fault Diagnosis With Incremental Learning Capability
Wanke Yu et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2020)
A Novel Method Based on Deep Convolutional Neural Networks for Wafer Semiconductor Surface Defect Inspection
Guojun Wen et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
Deep Semisupervised Domain Generalization Network for Rotary Machinery Fault Diagnosis Under Variable Speed
Yixiao Liao et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
Long Wen et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2019)
Fault Detection Strategy Based on Weighted Distance of k Nearest Neighbors for Semiconductor Manufacturing Processes
Cheng Zhang et al.
IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING (2019)
Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks
Xiang Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning
Siyu Shao et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Railway Point Machine Prognostics Based on Feature Fusion and Health State Assessment
Vepa Atamuradov et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2019)
LSTM and Edge Computing for Big Data Feature Recognition of Industrial Electrical Equipment
Chin-Feng Lai et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
A Hierarchical Deep Domain Adaptation Approach for Fault Diagnosis of Power Plant Thermal System
Xiaoxia Wang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
A survey on knowledge transfer for manufacturing data analytics
Seung Hwan Bang et al.
COMPUTERS IN INDUSTRY (2019)
Unsupervised fault diagnosis method based on iterative multi-manifold spectral clusteringInspec keywordsOther keywords
Wenbin Song et al.
IET COLLABORATIVE INTELLIGENT MANUFACTURING (2019)
A Fault Diagnostic Method for Induction Motors Based on Feature Incremental Broad Learning and Singular Value Decomposition
Sai Biao Jiang et al.
IEEE ACCESS (2019)
Data analytics framework for Industry 4.0: enabling collaboration for added benefitsInspec keywordsOther keywords
Sanja Lazarova-Molnar et al.
IET COLLABORATIVE INTELLIGENT MANUFACTURING (2019)
Soft sensor based on stacked auto-encoder deep neural network for air preheater rotor deformation prediction
Xiao Wang et al.
ADVANCED ENGINEERING INFORMATICS (2018)
Deep learning for smart manufacturing: Methods and applications
Jinjiang Wang et al.
JOURNAL OF MANUFACTURING SYSTEMS (2018)
Data-driven smart manufacturing
Fei Tao et al.
JOURNAL OF MANUFACTURING SYSTEMS (2018)
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
C. L. Philip Chen et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Hyperspectral Imagery Classification Based on Semi-Supervised Broad Learning System
Yi Kong et al.
REMOTE SENSING (2018)
Transductive Transfer Learning Based on Broad Learning System
Le Yang et al.
2018 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) (2018)
Recurrent Neural Network-Based Model Predictive Control for Continuous Pharmaceutical Manufacturing
Wee Chin Wong et al.
MATHEMATICS (2018)
A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests
Dazhong Wu et al.
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME (2017)
Smart manufacturing must embrace big data
Andrew Kusiak
NATURE (2017)
An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis
Shaobo Li et al.
SENSORS (2017)
Multisensor Fused Fault Diagnosis for Rotation Machinery Based on Supervised Second-Order Tensor Locality Preserving Projection and Weighted k-Nearest Neighbor Classifier under Assembled Matrix Distance Metric
Fen Wei et al.
SHOCK AND VIBRATION (2016)
Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
Wade A. Smith et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2015)
Unsupervised Visual Domain Adaptation Using Subspace Alignment
Basura Fernando et al.
2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2013)
Domain Adaptation via Transfer Component Analysis
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)
分享论文
