Related references
Note: Only part of the references are listed.Augmented data driven self-attention deep learning method for imbalanced fault diagnosis of the HVAC chiller
Cunxiao Shen et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2023)
Industrial gearbox fault diagnosis based on multi-scale convolutional neural networks and thermal imaging
Yongbo Li et al.
ISA TRANSACTIONS (2022)
AVNC: Attention-Based VGG-Style Network for COVID-19 Diagnosis by CBAM
Shui-Hua Wang et al.
IEEE SENSORS JOURNAL (2022)
Continual Learning-Based Probabilistic Slow Feature Analysis for Monitoring Multimode Nonstationary Processes
Jingxin Zhang et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2022)
Complex probabilistic slow feature extraction with applications in process data analytics
Vamsi Krishna Puli et al.
COMPUTERS & CHEMICAL ENGINEERING (2021)
Prediction of Peptide Detectability Based on CapsNet and Convolutional Block Attention Module
Minzhe Yu et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2021)
ResNet-SCDA-50 for Breast Abnormality Classification
Xiang Yu et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2021)
A transfer convolutional neural network for fault diagnosis based on ResNet-50
Long Wen et al.
NEURAL COMPUTING & APPLICATIONS (2020)
A new bearing fault diagnosis method based on modified convolutional neural networks
Jiangquan Zhang et al.
CHINESE JOURNAL OF AERONAUTICS (2020)
Traffic Sign Recognition Based on ResNet-20 and Deep Mutual Learning
Tianjiao Huo et al.
2020 CHINESE AUTOMATION CONGRESS (CAC 2020) (2020)
Spatiotemporal Convolutional Neural Network with Convolutional Block Attention Module for Micro-Expression Recognition
Boyu Chen et al.
INFORMATION (2020)
A Novel 2-D Current Signal-Based Residual Learning With Optimized Softmax to Identify Faults in Ball Screw Actuators
Naveed Riaz et al.
IEEE ACCESS (2020)
Fast and Accurate Classification of Time Series Data Using Extended ELM: Application in Fault Diagnosis of Air Handling Units
Ke Yan et al.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2019)
Slow-Feature-Analysis-Based Batch Process Monitoring With Comprehensive Interpretation of Operation Condition Deviation and Dynamic Anomaly
Shumei Zhang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Refrigerant charge fault detection method of air source heat pump system using convolutional neural network for energy saving
Yong Hwan Eom et al.
ENERGY (2019)
DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture
Alok Sharma et al.
SCIENTIFIC REPORTS (2019)
Semi-supervised dynamic latent variable modeling: I/O probabilistic slow feature analysis approach
Lei Fan et al.
AICHE JOURNAL (2019)
Research on Fault Detection Method for Air Handling Units System
Liangliang Sun et al.
IFAC PAPERSONLINE (2019)
Identification of robust probabilistic slow feature regression model for process data contaminated with outliers
Lei Fan et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2018)
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
Long Wen et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Recursive Slow Feature Analysis for Adaptive Monitoring of Industrial Processes
Chao Shang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Multiphase batch process with transitions monitoring based on global preserving statistics slow feature analysis
Hanyuan Zhang et al.
NEUROCOMPUTING (2018)
Fault Diagnosis of HVAC Air-Handling Systems Considering Fault Propagation Impacts Among Components
Ying Yan et al.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2017)
Belief Propagation for Probabilistic Slow Feature Analysis
Toshiaki Omori et al.
JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN (2017)
Single-trial EEG classification of motor imagery using deep convolutional neural networks
Zhichuan Tang et al.
OPTIK (2017)
Diagnostic Bayesian networks for diagnosing air handling units faults - part I: Faults in dampers, fans, filters and sensors
Yang Zhao et al.
APPLIED THERMAL ENGINEERING (2017)
Monitoring of operating point and process dynamics via probabilistic slow feature analysis
Feihong Guo et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2016)
Slow feature analysis for monitoring and diagnosis of control performance
Chao Shang et al.
JOURNAL OF PROCESS CONTROL (2016)
Probabilistic slow feature analysis-based representation learning from massive process data for soft sensor modeling
Chao Shang et al.
AICHE JOURNAL (2015)
Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis
Chao Shang et al.
AICHE JOURNAL (2015)
A model-based fault detection and diagnostic methodology based on PCA method and wavelet transform
Shun Li et al.
ENERGY AND BUILDINGS (2014)