ECA-CNN-Driven RUL Prediction for Lithium-Ion Batteries: A Charging Data Deep Learning Approach
2025 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes
Li Hao  Xinjiang University
Attendee Oral Presentation
Intelligent Fault Diagnosis System for Rail Transit Critical Components Based on CNN-LSTM
2025 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes
Xiang Sheng  Chongqing University
Attendee Oral Presentation
Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis
2025 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes
韩 鹏宇  清华大学
Attendee Oral Presentation
Recurrent Neuron Analysis for Dynamic Nonlinear Process Monitoring
2025 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes
Hao Weichen  Beijing University of Chemical Technology
Attendee Oral Presentation
The Method of Semi-supervised Anomaly Pattern Detection for Industrial Processes Based on Improved Spectral Clustering
2025 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes
Wang Sheng  Beijing University of Chemical Technology
Attendee Oral Presentation
Dual-modal WGAN-VAE for Fault Detection in Non-stationary Dynamical Processes
2025 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes
杨 文强  中国石油大学（北京）
Attendee Oral Presentation
Hierarchical Transfer based Fault-Tolerant Control for High-Order MASs with Sensor Faults
2025 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes
戚 洪基  东北大学
Attendee Oral Presentation
Sliding Window Singular Value-based Autoregressive Transformer for Detecting Incipient Faults in Dynamical Processes
2025 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes
孔 潇冉  中国石油大学（北京）
Attendee Oral Presentation
System Identification for Resonant Converters Through Correlation Analysis Scheme
2025 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes
Liao Yongyi  Southwest Jiaotong University
Attendee Oral Presentation
An Interpretable SOH Prediction Framework for Lithium-Ion Batteries Using Structured TabMap and 3D Convolution
2025 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes
刘 强  东北大学
Attendee Oral Presentation