APA (7th ed.) Citation

Du, Y., Wang, H., Zhao, Y., Sun, K., & Zhang, Y. (2025). Complex fault diagnosis in wind turbine bearings: A hybrid approach combining the improved feature mode decomposition and convolutional neural networks. Journal of Vibroengineering, 27(6), 941. https://doi.org/10.21595/jve.2025.24974

Chicago Style (17th ed.) Citation

Du, Yongbin, Hengyu Wang, Yuanhai Zhao, Kunwang Sun, and Yi Zhang. "Complex Fault Diagnosis in Wind Turbine Bearings: A Hybrid Approach Combining the Improved Feature Mode Decomposition and Convolutional Neural Networks." Journal of Vibroengineering 27, no. 6 (2025): 941. https://doi.org/10.21595/jve.2025.24974.

MLA (9th ed.) Citation

Du, Yongbin, et al. "Complex Fault Diagnosis in Wind Turbine Bearings: A Hybrid Approach Combining the Improved Feature Mode Decomposition and Convolutional Neural Networks." Journal of Vibroengineering, vol. 27, no. 6, 2025, p. 941, https://doi.org/10.21595/jve.2025.24974.