APA (7th ed.) Citation

Lu, C., Wang, Z., Qin, W., & Ma, J. (2017). Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification. Signal processing, 130, 377-388. https://doi.org/10.1016/j.sigpro.2016.07.028

Chicago Style (17th ed.) Citation

Lu, Chen, Zhen-Ya Wang, Wei-Li Qin, and Jian Ma. "Fault Diagnosis of Rotary Machinery Components Using a Stacked Denoising Autoencoder-based Health State Identification." Signal Processing 130 (2017): 377-388. https://doi.org/10.1016/j.sigpro.2016.07.028.

MLA (9th ed.) Citation

Lu, Chen, et al. "Fault Diagnosis of Rotary Machinery Components Using a Stacked Denoising Autoencoder-based Health State Identification." Signal Processing, vol. 130, 2017, pp. 377-388, https://doi.org/10.1016/j.sigpro.2016.07.028.