Cite
Detecting and Learning Unknown Fault States by Automatically Finding the Optimal Number of Clusters for Online Bearing Fault Diagnosis.
MLA
Islam, Md Rashedul, et al. “Detecting and Learning Unknown Fault States by Automatically Finding the Optimal Number of Clusters for Online Bearing Fault Diagnosis.” Applied Sciences (2076-3417), vol. 9, no. 11, June 2019, p. 2326. EBSCOhost, https://doi.org/10.3390/app9112326.
APA
Islam, M. R., Kim, Y.-H., Kim, J.-Y., & Kim, J.-M. (2019). Detecting and Learning Unknown Fault States by Automatically Finding the Optimal Number of Clusters for Online Bearing Fault Diagnosis. Applied Sciences (2076-3417), 9(11), 2326. https://doi.org/10.3390/app9112326
Chicago
Islam, Md Rashedul, Young-Hun Kim, Jae-Young Kim, and Jong-Myon Kim. 2019. “Detecting and Learning Unknown Fault States by Automatically Finding the Optimal Number of Clusters for Online Bearing Fault Diagnosis.” Applied Sciences (2076-3417) 9 (11): 2326. doi:10.3390/app9112326.