Publications

You can also find my articles on my Google Scholar profile and ORCID .

Journal Papers

^* Corresponding author

• Shun Wang*, Yolanda Vidal, Jiacong Zhang, Francesc Pozo. Robust unsupervised gearbox fault detection under variable-speed operating conditions. Energy and AI, 2026, 25: 100862.
  doi: https://doi.org/10.1016/j.egyai.2026.100862
  [Code]

• Shun Wang, Yolanda Vidal*, Francesc Pozo. Recent advances in wind turbine condition monitoring using SCADA data: A state-of-the-art review. Reliability Engineering & System Safety, 2026, 267: 111838.
  doi: https://doi.org/10.1016/j.ress.2025.111838

• Shun Wang, Yolanda Vidal*, Francesc Pozo. An unsupervised approach to early fault detection and performance degradation assessment in bearings. Advanced Engineering Informatics, 2025, 68: 103620.
  doi: https://doi.org/10.1016/j.aei.2025.103620
  [Code]

• Shun Wang, Yolanda Vidal*, Francesc Pozo. Fault detection in wind turbines using health index monitoring with variational autoencoders. Wind Energy Science, 2025, 10: 2841-2863.
  doi: https://doi.org/10.5194/wes-10-2841-2025
  [Code]

• Shun Wang, Yolanda Vidal*, Francesc Pozo. Noncontact fault diagnosis of electrical equipment using modified multiscale two-dimensional color distribution entropy and thermal imaging. International Journal of Intelligent Systems, 2025, 2025(1): 4805844.
  doi: https://doi.org/10.1155/int/4805844

• Shun Wang, Yongbo Li*, Khandaker Noman, Zhixiong Li, Ke Feng, Zheng Liu, Zichen Deng. Multivariate multiscale dispersion Lempel-Ziv complexity for fault diagnosis of machinery with multiple channels. Information Fusion, 2024, 104: 102152.
  doi: https://doi.org/10.1016/j.inffus.2023.102152
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• Shun Wang, Yongbo Li*, Khandaker Noman, Dong Wang, Ke Feng, Zheng Liu, Zichen Deng. Cumulative spectrum distribution entropy for rotating machinery fault diagnosis. Mechanical Systems and Signal Processing, 2024, 206: 110905.
  doi: https://doi.org/10.1016/j.ymssp.2023.110905
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• Shun Wang, Yongbo Li*, Jiacong Zhang, Zheng Liu, Zichen Deng. A novel feature extraction method based on symbol-scale diversity entropy and its application for fault diagnosis of rotary machines. Structural Health Monitoring, 2024, 23 (3): 1423-1448.
  doi: https://doi.org/10.1177/14759217231186357
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• Shun Wang, Yongbo Li*, Shubin Si, Khandaker Noman. Enhanced hierarchical symbolic sample entropy: Efficient tool for fault diagnosis of rotating machinery. Structural Health Monitoring. 2023, 22(3): 1927-1940.
  doi: https://doi.org/10.1177/14759217221116417
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• Yongbo Li*, Shun Wang, Yang Yang, Zichen Deng. Multiscale symbolic fuzzy entropy: An entropy denoising method for weak feature extraction of rotating machinery. Mechanical Systems and Signal Processing, 2022, 162: 108052.
  doi: https://doi.org/10.1016/j.ymssp.2021.108052
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• Yongbo Li*, Shun Wang, Ni Li, Zichen Deng. Multiscale symbolic diversity entropy: a novel measurement approach for time-series analysis and its application in fault diagnosis of planetary gearboxes. IEEE Transactions on Industrial Informatics, 2022, 18(2): 1121-1131.
  doi: https://doi.org/10.1109/TII.2021.3082517
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• Yongbo Li*, Shun Wang, Zichen Deng. Intelligent fault identification of rotary machinery using refined composite multi-scale Lempel–Ziv complexity. Journal of Manufacturing Systems, 2021, 61: 725-735.
  doi: https://doi.org/10.1016/j.jmsy.2020.05.004
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• Yongbo Li, Zehang Jiao, Shun Wang, Ke Feng, Zheng Liu. Cross Diversity Entropy-Based Feature Extraction for Fault Diagnosis of Rotor System. IEEE/ASME Transactions on Mechatronics, 2023. doi: https://doi.org/10.1109/TMECH.2023.3318633
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• Khandaker Noman, Yongbo Li*, Shun Wang. Continuous Health Monitoring of Rolling Element Bearing Based on Nonlinear Oscillatory Sample Entropy. IEEE Transactions on Instrumentation and Measurement. 2022, 71: 1-14.
  doi: https://doi.org/10.1109/TIM.2022.3191712
  [PDF]

• Yongbo Li*, Fulong Liu, Shun Wang, Jiancheng Yin. Multiscale Symbolic Lempel–Ziv: An Effective Feature Extraction Approach for Fault Diagnosis of Railway Vehicle Systems. IEEE Transactions on Industrial Informatics, 2020, 17(1): 199-208.
  doi: https://doi.org/10.1109/TII.2020.2980923
  [PDF]

Conference Proceedings

• Shun Wang, Yolanda Vidal, Francesc Pozo. Wind turbine gearbox fault detection under distribution shifts, Eleventh International Conference on Experimental Vibration Analysis for Civil Engineering Structures (EVACES 2025). Springer, 2025: 962-969.
  doi: https://doi.org/10.1007/978-3-031-96106-9_98

• Shun Wang, Yolanda Vidal*, Francesc Pozo. Gearbox fault detection method under unseen working conditions and damage, Twentieth International Conference on Condition Monitoring and Asset Management (CM 2024). 2024.
  doi: https://doi.org/10.1784/cm2024.3b2

• Shun Wang, Yolanda Vidal*, Francesc Pozo. Two-Dimensional Color Distribution Entropy: Validation and Application on Non-Contact Fault Diagnosis for Induction Motor, European signal processing conference (EUSIPCO 2024). 2024.
  doi: https://doi.org/10.23919/EUSIPCO63174.2024.10715460

• Shun Wang, Yongbo Li*. A Novel Nonlinear Analysis Tool: Multi-scale Symbolic Sample Entropy and Its Application in Condition Monitoring of Rotary Machinery, 2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM 2020). IEEE, 2020: 1-5.
  doi: https://doi.org/10.1109/APARM49247.2020.9209495
  [PDF]

• Shun Wang, Yongbo Li*. Refined time-shift multiscale diversity entropy: a novel feature extraction algorithm for fault diagnosis of planetary gearbox, 14th International Conference on Damage Assessment of Structures (DAMAS 2021). Journal of Physics: Conference Series. IOP Publishing, 2022, 2184(1): 012010.
  doi: https://doi.org/10.1088/1742-6596/2184/1/012010
  [PDF]