Tianyang Wang

Orcid: 0000-0002-7256-883X

Affiliations:
  • Tsinghua University, Beijing, China


According to our database1, Tianyang Wang authored at least 35 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Statistic Discrepancy Oriented Cyclo-Non-Stationary Indicator for Wind Turbine Condition Monitoring Under Varying Speed Conditions.
IEEE Trans. Cybern., January, 2026

A novel interpretable dynamic weighted domain adaptation network for cross-domain fault diagnosis of bearings under time-varying speeds.
Eng. Appl. Artif. Intell., 2026

Vibration smart language model: A study on intelligent operation and maintenance and decision support system based on multimodal data fusion.
Appl. Soft Comput., 2026

A federated class-incremental learning framework with dynamic client participation and evolution for machine fault diagnosis.
Adv. Eng. Informatics, 2026

2025
AutoVMDPgram: An Effective Method for Fault Diagnosis of Rolling Bearing.
IEEE Trans. Neural Networks Learn. Syst., August, 2025

FMDPgram: An Improvement of FMD for Rotating Machinery Fault Diagnosis.
IEEE Trans. Ind. Informatics, August, 2025

Horizontal Local-Squeezing Frequency-Domain Chirplet Transform.
IEEE Trans. Instrum. Meas., 2025

VMDPgram: An Effective Signal Decomposition Method for Rolling Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025

Digital twin-driven imbalanced fault diagnosis method based on new distribution discrepancy metric and large margin aware focal loss.
Simul. Model. Pract. Theory, 2025

The bearing multi-sensor fault diagnosis method based on a multi-branch parallel perception network and feature fusion strategy.
Reliab. Eng. Syst. Saf., 2025

Classifier-free diffusion-based weakly-supervised approach for health indicator derivation in rotating machines: Advancing early fault detection and condition monitoring.
Reliab. Eng. Syst. Saf., 2025

Local Entropy Optimization-Adaptive Demodulation Reassignment Transform for Advanced Analysis of Non-Stationary Mechanical Signals.
Entropy, 2025

Multimodal data imputation and fusion for trustworthy fault diagnosis of mechanical systems.
Eng. Appl. Artif. Intell., 2025

Fault diagnosis method for imbalanced data based on adaptive diffusion models and generative adversarial networks.
Eng. Appl. Artif. Intell., 2025

A fault diagnosis data augmentation method integrating multimodal non-Gaussian denoising diffusion generative adversarial network.
Adv. Eng. Informatics, 2025

2024
Modeling of Interturn Short Fault in Interior Permanent Magnet Synchronous Motors With Multistrand Windings.
IEEE Trans. Ind. Electron., November, 2024

Entropy-Aided Meshing-Order Modulation Analysis for Wind Turbine Planetary Gear Weak Fault Detection under Variable Rotational Speed.
Entropy, May, 2024

An Environmentally Adaptive and Contrastive Representation Learning Method for Condition Monitoring of Industrial Assets.
IEEE Trans. Cybern., March, 2024

Hybrid machine condition monitoring based on interpretable dual tree methods using Wasserstein metrics.
Expert Syst. Appl., January, 2024

Design and Implementation of Intelligent Rolling Bearing Based on Variable Reluctance Generator.
IEEE Trans. Instrum. Meas., 2024

Compound Dimension Wavelet Network and Its Application in Bearings Fault Diagnosis Under Varying Speeds.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

2023
Novel Ramanujan Digital Twin for Motor Periodic Fault Monitoring and Detection.
IEEE Trans. Ind. Informatics, December, 2023

Motor Current Model for Detecting Localized Defects in Planet Rolling Bearings.
IEEE Trans. Ind. Electron., September, 2023

Matching contrastive learning: An effective and intelligent method for wind turbine fault diagnosis with imbalanced SCADA data.
Expert Syst. Appl., August, 2023

Adversarial Representation Learning for Intelligent Condition Monitoring of Complex Machinery.
IEEE Trans. Ind. Electron., 2023

A Wasserstein generative digital twin model in health monitoring of rotating machines.
Comput. Ind., 2023

2022
Fault Feature Recovery With Wasserstein Generative Adversarial Imputation Network With Gradient Penalty for Rotating Machine Health Monitoring Under Signal Loss Condition.
IEEE Trans. Instrum. Meas., 2022

Generalized Cross-Severity Fault Diagnosis of Bearings via a Hierarchical Cross-Category Inference Framework.
IEEE Trans. Ind. Informatics, 2022

Synchro-Reassigning Transform for Instantaneous Frequency Estimation and Signal Reconstruction.
IEEE Trans. Ind. Electron., 2022

2021
Cross-Operating Condition Degradation Knowledge Learning for Remaining Useful Life Estimation of Bearings.
IEEE Trans. Instrum. Meas., 2021

Scaling-Basis Chirplet Transform.
IEEE Trans. Ind. Electron., 2021

Magnetic Equivalent Modeling of Stator Currents for Localized Fault Detection of Planetary Gearboxes Coupled to Electric Motors.
IEEE Trans. Ind. Electron., 2021

Spatiotemporal non-negative projected convolutional network with bidirectional NMF and 3DCNN for remaining useful life estimation of bearings.
Neurocomputing, 2021

Sparse Representation Classification With Structured Dictionary Design Strategy for Rotating Machinery Fault Diagnosis.
IEEE Access, 2021

2019
Deep convolutional neural network based planet bearing fault classification.
Comput. Ind., 2019


  Loading...