APA (7th ed.) Citation

Wu, X., Zhang, Y., Cheng, C., & Peng, Z. (2021). A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery. Mechanical systems and signal processing, 149, 107327. https://doi.org/10.1016/j.ymssp.2020.107327

Chicago Style (17th ed.) Citation

Wu, Xinya, Yan Zhang, Changming Cheng, and Zhike Peng. "A Hybrid Classification Autoencoder for Semi-supervised Fault Diagnosis in Rotating Machinery." Mechanical Systems and Signal Processing 149 (2021): 107327. https://doi.org/10.1016/j.ymssp.2020.107327.

MLA (9th ed.) Citation

Wu, Xinya, et al. "A Hybrid Classification Autoencoder for Semi-supervised Fault Diagnosis in Rotating Machinery." Mechanical Systems and Signal Processing, vol. 149, 2021, p. 107327, https://doi.org/10.1016/j.ymssp.2020.107327.