APA (7th ed.) Citation

Khan, I. U., Hua, C., Li, L., Zhang, L., Yang, F., & Liu, W. (2025). Remaining useful life prediction for a cracked rotor system via moving feature fusion based deep learning approach. Measurement (02632241), 239, N.PAG. https://doi.org/10.1016/j.measurement.2024.115433

Chicago Style (17th ed.) Citation

Khan, Imdad Ullah, Chunrong Hua, Longbin Li, Longyi Zhang, Funing Yang, and Weiqun Liu. "Remaining Useful Life Prediction for a Cracked Rotor System via Moving Feature Fusion Based Deep Learning Approach." Measurement (02632241) 239 (2025): N.PAG. https://doi.org/10.1016/j.measurement.2024.115433.

MLA (9th ed.) Citation

Khan, Imdad Ullah, et al. "Remaining Useful Life Prediction for a Cracked Rotor System via Moving Feature Fusion Based Deep Learning Approach." Measurement (02632241), vol. 239, 2025, p. N.PAG, https://doi.org/10.1016/j.measurement.2024.115433.