491 results on '"Zhihuan Song"'
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2. Establishment the equivalent model and parameter calculation of a new concept of high-speed permanent magnet synchronous machine with hybrid excitation on the stator
3. Comparative study on torque characteristics of permanent magnet synchronous reluctance motors with different axial hybrid rotors
4. Real-Time Forecasting of Subsurface Inclusion Defects for Continuous Casting Slabs: A Data-Driven Comparative Study
5. Multi-scale Fusion of Stretched Infrared and Visible Images
6. Primary-Auxiliary Statistical Local Kernel Principal Component Analysis and Its Application to Incipient Fault Detection of Nonlinear Industrial Processes
7. Robust Supervised Probabilistic Factor Analysis and Its Application to Industrial Soft Sensor Modeling
8. Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes
9. MDFF: A Multilevel Deep Fusion Framework of Multisource Heterogeneous Data for FeO Content Prediction in Sintering Process.
10. Improving Data-Driven Inferential Sensor Modeling by Industrial Knowledge: A Bayesian Perspective.
11. Data Mining and Analytics in the Process Industry: The Role of Machine Learning
12. Student’s-t Mixture Regression-Based Robust Soft Sensor Development for Multimode Industrial Processes
13. A novel label-aware global graph construction method and spiking-coded graph neural network for intelligent process fault diagnosis.
14. Robust Adversarial Attacks on Imperfect Deep Neural Networks in Fault Classification.
15. Heat Equation Stein Variational Ensemble: Rethinking and Advancing Uncertainty-Aware Soft Sensor Modeling.
16. Analyzing and Improving Supervised Nonlinear Dynamical Probabilistic Latent Variable Model for Inferential Sensors.
17. EnvFormer: A Decomposition-Based Transformer for Multistep Burn-Through Point Prediction in the Sintering Process.
18. A Systematic Monitoring Framework Utilizing Dynamic Bayesian Network in Plant-Wide Processes.
19. Fault Diagnosis of Ultra-Supercritical Thermal Power Units Based on Improved ICEEMDAN and LeNet-5.
20. Security Versus Accuracy: Trade-Off Data Modeling to Safe Fault Classification Systems.
21. Adversarial Learning From Imbalanced Data: A Robust Industrial Fault Classification Method.
22. Reliable Soft Sensors With an Inherent Process Graph Constraint.
23. Information Complementary Fusion Stacked Autoencoders for Soft Sensor Applications in Multimode Industrial Processes.
24. A Novel Sequence Discriminative Feature Extraction Network and Its Application in Offline Industrial Fault Pattern Clustering.
25. Multirate Mixture Probability Principal Component Analysis for Process Monitoring in Multimode Processes.
26. Variational Inference Over Graph: Knowledge Representation for Deep Process Data Analytics.
27. Deep Learning of Partially Labeled Data for Quality Prediction Based on Stacked Target-Related Laplacian Autoencoder.
28. GPBP: Pipeline Extraction of Entities and Relations for Construction of Urban Utility Tunnel Knowledge Graph.
29. Rolling bearing fault diagnosis with variable load and few samples based on multifeature fusion meta-learning.
30. Data Augmentation Based on Active Virtual Sample Selection for Bearing Fault Diagnosis.
31. Balanced Adversarial Robust Learning for Industrial Fault Classification with Imbalanced Data.
32. A Decomposition-based Encoder-Decoder Framework for Multi-step Prediction of Burn-Through Point in Sintering Process.
33. Causality-driven Sequence Segmentation for Enhancing Multiphase Industrial Process Data Analysis and Soft Sensing.
34. Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial Data.
35. Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow.
36. Feature-Aligned Stacked Autoencoder: A Novel Semisupervised Deep Learning Model for Pattern Classification of Industrial Faults.
37. Causal Generative Model for Root-Cause Diagnosis and Fault Propagation Analysis in Industrial Processes.
38. Object servoing of differential-drive service robots using switched control.
39. Data-driven soft sensors in blast furnace ironmaking: a survey.
40. A Novel Attempt of Barrier Function to the Safety of Caputo's fractional-order systems.
41. Stability analysis of discrete-time systems with arbitrary delay kernels based on kernel-related summation inequality and model transformation.
42. Multi-Scale Exposure Fusion via Content Adaptive Edge-Preserving Smoothing Pyramids.
43. Imbalanced Sample Selection With Deep Reinforcement Learning for Fault Diagnosis.
44. A new rotation forest ensemble algorithm.
45. Hessian Semisupervised Scatter Regularized Classification Model With Geometric and Discriminative Information for Nonlinear Process.
46. Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis.
47. Generalized transformer in fault diagnosis of Tennessee Eastman process.
48. Identification of important factors influencing nonlinear counting systems.
49. Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring.
50. ABIGX: A Unified Framework for eXplainable Fault Detection and Classification.
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