CH
Chao He
Also known as: He Chao
Shenyang Aerospace University
Research areas: Engineering · Control and Systems Engineering · Machine Fault Diagnosis Techniques · Fault Detection and Control Systems · Semantic Web and Ontologies
0000-0002-4666-377X
Employment
- 2026 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (32)
- Macroscopic–microscopic information fusion: a novel reliable bearing diagnosis method with physical embedding and uncertainty quantification Save
- Heterogeneous neural blind deconvolution: A signal processing-empowered foundation feature extractor for bearing fault diagnosis Save
- PIDUQ: an interpretable physics-informed distribution uncertainty quantification network for unsupervised cross-domain fault diagnosis of rolling bearings Save
- Prior knowledge-embedded first-layer interpretable paradigm for rail transit vehicle human–computer collaboration fault monitoring Save
- CDPA-Net: An Indoor Work Sites Smoking Detection Framework Based on Contour-Driven Pose-Aware Feature Learning Save
- CCDM: Causality-guided contourlet diffusion models for contour-preserving image restoration in indoor work sites Save
- FDEA-Net: Enhancing X-Ray Fracture Detection via Detail-Boosted and Rotation-Aware Feature Encoding Save
- Robust subdomain distribution alignment with class-wise weight selection mechanism for mechanical fault transfer diagnosis Save
- TMR-AnoN: a brightness-twin dual-channel anomaly detection network for railway freight cars Save
- A Discriminative Band-Feature Enhanced Empirical Wavelet Network for IIoT-Enabled Single-Domain Generalization Anomaly Detection of Heavy-Haul Freight Train Wheelsets Save
- A method for bearing fault diagnosis integrating deep wavelet and short-time Fourier transform,融合深度小波和短时傅里叶变换的轴承故障诊断方法 Save
- A novel power converters open-circuit fault diagnosis method with adaptive complex causal transformer Save
- A physical knowledge-informed bearing fault feature extraction network based on Mamba Save
- Adaptive multi-scale Laplace wavelet weighted fusion framework for heavy haul freight train fault diagnosis under limited sample with high-noise Save
- An interpretable physics-informed subdomain moment-enhanced adaptation network for unsupervised transfer fault diagnosis of rolling bearing Save
- Classifier-guided neural blind deconvolution: A physics-informed denoising module for bearing fault diagnosis under noisy conditions Save
- Decoupling Machine and Operational Variances: A Spectral Attention Framework for Robust Few-Shot Cross-Machine Fault Diagnosis Save
- Modulated differentiable STFT and balanced spectrum metric for freight train wheelset bearing cross-machine transfer monitoring under speed fluctuations Save
- Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise Save
- EF-Yolo: An Efficient and Lightweight Network for Real-Time Components Detection of Freight Trains Save