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Qi Li

Tsinghua University

China

Research Interests

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Articles (20)

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2023

Collaborators (2)

Xinmin Zhang

Professor

Zhejiang University

CHINA

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Zhaoye Qin

Tsinghua University

CHINA

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Qi Li

Research Interests

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Articles (20)

VSLLaVA: A pipeline for Large Multimodal Foundation Models in industrial vibration signal analysis

Real-time Single-device Mixed Reality for Industrial Fault Diagnosis: The SEMR Framework with Adaptive SLAM and Predictive Interaction

DiagConTA: Continual Test-Time Domain Adaptation for Industrial Fault Diagnosis Under Dynamic Working Conditions

Explainable Adaptive Fusion Network: A Transparent Model for Intelligent Fault Diagnosis Using Multisensor Measurement Signals

Few-Shot Adversarial Domain Generalization: An Out-of-Distribution Generalization Method for Fault Diagnosis Based on Lightweight Models

HSE: A plug-and-play module for unified fault diagnosis foundation models

The bearing multi-sensor fault diagnosis method based on a multi-branch parallel perception network and feature fusion strategy

A health monitoring and early fault detection method of rotating machines based on latent variables of diffusion model

Transparent information fusion network: An explainable network for multi-source bearing fault diagnosis via self-organized neural-symbolic nodes

CoUDA: Continual Unsupervised Domain Adaptation for Industrial Fault Diagnosis Under Dynamic Working Conditions

Variance-steepest-descent deconvolution for machine fault diagnosis at low signal-to-noise ratios

Deep expert network: A unified method toward knowledge-informed fault diagnosis via fully interpretable neuro-symbolic AI

Fault diagnosis for ball screws in industrial robots under variable and inaccessible working conditions with non-vibration signals

Metric Learning-Based Few-Shot Adversarial Domain Adaptation: A Cross-Machine Diagnosis Method for Ball Screws of Industrial Robots

Physics-Informed Scaling Evolutionary Transformer for In-Situ Tool Condition Monitoring

Transparent Operator Network: A Fully Interpretable Network Incorporating Learnable Wavelet Operator for Intelligent Fault Diagnosis

Wind turbine blade breakage detection based on environment-adapted contrastive learning

Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions

Short-term multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks

A Fully Transparent Deep Signal Operator Network for Intelligent Fault Diagnosis

Collaborators (2)

Xinmin Zhang

Zhaoye Qin

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