APA (7th ed.) Citation

Mao, W., Wang, Y., Feng, K., Kou, L., & Zhang, Y. (2024). SWDAE: A New Degradation State Evaluation Method for Metro Wheels with Interpretable Health Indicator Construction based on Unsupervised Deep Learning. IEEE transactions on instrumentation and measurement, 73, 1. https://doi.org/10.1109/TIM.2023.3348910

Chicago Style (17th ed.) Citation

Mao, Wentao, Yu Wang, Ke Feng, Linlin Kou, and Yanna Zhang. "SWDAE: A New Degradation State Evaluation Method for Metro Wheels with Interpretable Health Indicator Construction Based on Unsupervised Deep Learning." IEEE Transactions on Instrumentation and Measurement 73 (2024): 1. https://doi.org/10.1109/TIM.2023.3348910.

MLA (9th ed.) Citation

Mao, Wentao, et al. "SWDAE: A New Degradation State Evaluation Method for Metro Wheels with Interpretable Health Indicator Construction Based on Unsupervised Deep Learning." IEEE Transactions on Instrumentation and Measurement, vol. 73, 2024, p. 1, https://doi.org/10.1109/TIM.2023.3348910.

Warning: These citations may not always be 100% accurate.