Comprehensive Performance Evaluation of Sliding-bearing Wind Turbine Gearboxes

Authors

  • Yao Li College of Mechanical & Power, China Three Gorges University, China https://orcid.org/0000-0002-6263-5832
  • Longsheng Li College of Mechanical & Power, China Three Gorges University, China
  • Gaoxiang Ni College of Mechanical & Power, China Three Gorges University, China
  • Xinlong Li College of Mechanical & Power, China Three Gorges University, China
  • Jianjun Tan State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, China
  • Kongde He College of Mechanical & Power, China Three Gorges University, China

DOI:

https://doi.org/10.5545/sv-jme.2024.1239

Keywords:

sliding-bearing wind turbine gearbox, comprehensive performance evaluation, multidimensional evaluation indicators, analytic network process, fuzzy comprehensive evaluation

Abstract

Considering the structural characteristics and multi-source excitations of sliding-bearing wind turbine gearboxes, this study constructs a multi-body dynamic model of high-power sliding-bearing wind turbine gearboxes. A comprehensive performance evaluation methodology is proposed, integrating the analytic network process (ANP) with an improved fuzzy comprehensive evaluation (IFCE). A multidimensional comprehensive performance evaluation framework, emphasizing the practicality and cost-effectiveness is developed consisting of target, criterion, and indicator layers. The key evaluation indicators identified within this framework include the main shaft bearing support force, transmission system reliability, load-sharing coefficient, vibration characteristics, and power density. Utilizing ANP and IFCE methodologies the comprehensive performance of two sliding-bearing wind turbine gearboxes is systematically assessed.

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Published

2025-09-09

How to Cite

Li, Y., Li, L., Ni, G., Li, X., Tan, J., & He, K. (2025). Comprehensive Performance Evaluation of Sliding-bearing Wind Turbine Gearboxes. Strojniški Vestnik - Journal of Mechanical Engineering, 71(7-8), 231–241. https://doi.org/10.5545/sv-jme.2024.1239