Reliability Analysis of Wind Turbine Blades Based on Numerical Analysis and Multi-fault Competition Failure

Author:

Ge Xin-YuORCID,Bi Jun-XiORCID,Ma Hang,Wang Yan,Jiao Jia-Ming,Wang Guo-Fu

Publisher

Springer Nature Singapore

Reference26 articles.

1. He, W.J.F., Su, J.S., Zhou, D.T.: Supporting structure optimization of offshore large-scale vertical axis wind turbine based on beso algorithm. J. Shanghai Jiaotong University 57(02), 127–137 (2023)

2. Ge, X.Y.F., Bi, J.X.S., Wamg, G.F.T.: Multi-fault situation assessment and diagnosis method of wind turbine blades based on fault tree and Bayesian network. In: 12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2022), pp. 1499–1505. Emeishan, China (2022)

3. Mishnaevsky, J.L.F.: Sustainable end-of-life management of wind turbine blades: overview of current and coming solutions. Materials 14(5), 1124 (2021)

4. Wang, B.J.F., Han, Y.S., Tong, B.T.: Status and prospects on condition monitoring technologies of offshore wind turbine blade. Ship Eng. 44(S1), 1–5 (2022)

5. Jiao, N.P.F., Song, L.S., Chen, Y.Y.T.: Simulation study on surface crack propagation of composite wind turbine blade. Renew. Energy Resour. 40(09), 1195–1201 (2022)

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