APA (7th ed.) Citation

Gao, Z., Wang, Y., Li, X., & Yao, J. (2024). Twins transformer: Rolling bearing fault diagnosis based on cross-attention fusion of time and frequency domain features. Measurement science & technology, 35(9), 96113. https://doi.org/10.1088/1361-6501/ad53f1

Chicago Style (17th ed.) Citation

Gao, Zhikang, Yanxue Wang, Xinming Li, and Jiachi Yao. "Twins Transformer: Rolling Bearing Fault Diagnosis Based on Cross-attention Fusion of Time and Frequency Domain Features." Measurement Science & Technology 35, no. 9 (2024): 96113. https://doi.org/10.1088/1361-6501/ad53f1.

MLA (9th ed.) Citation

Gao, Zhikang, et al. "Twins Transformer: Rolling Bearing Fault Diagnosis Based on Cross-attention Fusion of Time and Frequency Domain Features." Measurement Science & Technology, vol. 35, no. 9, 2024, p. 96113, https://doi.org/10.1088/1361-6501/ad53f1.