APA (7th ed.) Citation

Zhang, W., Li, X., Jia, X., Ma, H., Luo, Z., & Li, X. (2020). Machinery fault diagnosis with imbalanced data using deep generative adversarial networks. Measurement : journal of the International Measurement Confederation, 152, 107377. https://doi.org/10.1016/j.measurement.2019.107377

Chicago Style (17th ed.) Citation

Zhang, Wei, Xiang Li, Xiao-Dong Jia, Hui Ma, Zhong Luo, and Xu Li. "Machinery Fault Diagnosis with Imbalanced Data Using Deep Generative Adversarial Networks." Measurement : Journal of the International Measurement Confederation 152 (2020): 107377. https://doi.org/10.1016/j.measurement.2019.107377.

MLA (9th ed.) Citation

Zhang, Wei, et al. "Machinery Fault Diagnosis with Imbalanced Data Using Deep Generative Adversarial Networks." Measurement : Journal of the International Measurement Confederation, vol. 152, 2020, p. 107377, https://doi.org/10.1016/j.measurement.2019.107377.