APA (7th ed.) Citation

Wang, R., Chen, R., Zhao, Y., Shen, T., Chen, G., Hu, D., . . . Wang, X. (2025). A novel wasserstein autoencoder-enhanced thermo-mechanical coupled reduced-order model for high pressure turbine blades life monitoring. Engineering applications of artificial intelligence, 152, 110819. https://doi.org/10.1016/j.engappai.2025.110819

Chicago Style (17th ed.) Citation

Wang, Rongqiao, Ruoqi Chen, Yan Zhao, Tianbao Shen, Gaoxiang Chen, Dianyin Hu, Zhimin Jiang, and Xuemin Wang. "A Novel Wasserstein Autoencoder-enhanced Thermo-mechanical Coupled Reduced-order Model for High Pressure Turbine Blades Life Monitoring." Engineering Applications of Artificial Intelligence 152 (2025): 110819. https://doi.org/10.1016/j.engappai.2025.110819.

MLA (9th ed.) Citation

Wang, Rongqiao, et al. "A Novel Wasserstein Autoencoder-enhanced Thermo-mechanical Coupled Reduced-order Model for High Pressure Turbine Blades Life Monitoring." Engineering Applications of Artificial Intelligence, vol. 152, 2025, p. 110819, https://doi.org/10.1016/j.engappai.2025.110819.