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Robust cost-sensitive support matrix machine for wind turbine gearbox fault diagnosis
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Xin LI1, Dong WEI1, Xiaoyu ZOU1, Lei SI1, Haiyang PAN2, Haidong SHAO3
Journal of Vibration Engineering | 2025, 38(9) : 2141 - 2150
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Journal of Vibration Engineering | 2025, 38(9): 2141-2150
Robust cost-sensitive support matrix machine for wind turbine gearbox fault diagnosis
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Xin LI1, Dong WEI1, Xiaoyu ZOU1, Lei SI1, Haiyang PAN2, Haidong SHAO3
Affiliations
  • 1.School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China
  • 2.School of Mechanical Engineering, Anhui University of Technology, Ma’anshan 243002, China
  • 3.College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
Published: 2025-09-10 doi: 10.16385/j.cnki.issn.1004-4523.202310043
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Support matrix machine is an advanced matrix learning model that can fully utilize the intrinsic structural information in matrix data. However, it is susceptible to noise and outliers, and lacks generalization ability in imbalanced data. To this end, a robust cost-sensitive support matrix machine (RCSSMM) model is proposed and applied to intelligent diagnosis of wind turbine gearbox faults. RCSSMM improves the robustness to noise and outliers by evaluating the prior distribution of the matrix input with assembled matrix distance, and assigning different sample weights to different samples. Additionally, RCSSMM introduces the cost-sensitive loss function that assigns different penalty factors to different categories of matrix data. The optimal values of the penalty factors are adaptively determined with the Harris hawk optimization algorithm to focus on minority class samples and improve the diagnostic performance on imbalanced data. The proposed method is validated using simulated experimental data and real measured data of wind turbine gearboxes. The experimental results demonstrate that the RCSSMM model exhibits more outstanding fault diagnosis performance even under the presence of noise, outliers, and imbalanced data.

intelligent fault diagnosis  /  support matrix machine  /  robustness  /  imbalanced data  /  wind turbine gearbox
Xin LI, Dong WEI, Xiaoyu ZOU, Lei SI, Haiyang PAN, Haidong SHAO. Robust cost-sensitive support matrix machine for wind turbine gearbox fault diagnosis[J]. Journal of Vibration Engineering, 2025 , 38 (9) : 2141 -2150 . DOI: 10.16385/j.cnki.issn.1004-4523.202310043
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Article Info
doi: 10.16385/j.cnki.issn.1004-4523.202310043
  • Receive Date：2023-10-19
  • Online Date：2026-02-09
  • Published：2025-09-10
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History
  • Received：2023-10-19
  • Revised：2024-04-14
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Affiliations
    1.School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China
    2.School of Mechanical Engineering, Anhui University of Technology, Ma’anshan 243002, China
    3.College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
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红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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