Hao Li
Orcid: 0000-0001-5995-515XAffiliations:
- Beihang University, School of Reliability and Systems Engineering, Beijing, China
  According to our database1,
  Hao Li
  authored at least 15 papers
  between 2022 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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    on orcid.org
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Bibliography
  2025
    IEEE Trans. Ind. Informatics, April, 2025
    
  
Diff-CS-AE: A Dual Reassignment Differential Cyclostationary Analysis Scheme for Acoustic Emission-Based Machine Condition Monitoring.
    
  
    IEEE Trans. Instrum. Meas., 2025
    
  
Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis.
    
  
    Reliab. Eng. Syst. Saf., 2025
    
  
More will be better: Multi-source-free aggregation adaptation with confidence calibration for fault diagnosis.
    
  
    Adv. Eng. Informatics, 2025
    
  
  2024
An Interpretable Latent Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Limited Data.
    
  
    IEEE Trans. Ind. Informatics, August, 2024
    
  
    IEEE Trans. Ind. Informatics, April, 2024
    
  
    IEEE Trans. Syst. Man Cybern. Syst., February, 2024
    
  
Cross-domain data fusion generation: A novel composite label-guided generative solution for adaptation diagnosis.
    
  
    Knowl. Based Syst., 2024
    
  
    Knowl. Based Syst., 2024
    
  
    Adv. Eng. Informatics, 2024
    
  
  2023
    IEEE Trans. Ind. Electron., November, 2023
    
  
A novel acoustic emission signal segmentation network for bearing fault fingerprint feature extraction under varying speed conditions.
    
  
    Eng. Appl. Artif. Intell., November, 2023
    
  
Acoustic Emission-Based Cross-Domain Process Health Monitoring for Additive Manufacturing.
    
  
    IEEE Trans. Instrum. Meas., 2023
    
  
    IEEE Trans. Ind. Informatics, 2023
    
  
  2022
Uncertainty-based contrastive prototype-matching network towards cross-domain fault diagnosis with small data.
    
  
    Knowl. Based Syst., 2022