Cite
A novel, machine learning-based feature extraction method for detecting and localizing bearing component defects
MLA
Bilal Djamal Eddine Cherif, et al. “A Novel, Machine Learning-Based Feature Extraction Method for Detecting and Localizing Bearing Component Defects.” Metrology and Measurement Systems, vol. . 29, no. 2, June 2022, pp. 333–46. EBSCOhost, https://doi.org/10.24425/mms.2022.140038.
APA
Bilal Djamal Eddine Cherif, Sara Seninete, & Mabrouk Defdaf. (2022). A novel, machine learning-based feature extraction method for detecting and localizing bearing component defects. Metrology and Measurement Systems, . 29(2), 333–346. https://doi.org/10.24425/mms.2022.140038
Chicago
Bilal Djamal Eddine Cherif, Sara Seninete, and Mabrouk Defdaf. 2022. “A Novel, Machine Learning-Based Feature Extraction Method for Detecting and Localizing Bearing Component Defects.” Metrology and Measurement Systems . 29 (2): 333–46. doi:10.24425/mms.2022.140038.