Terron-Santiago, C.; Martinez-Roman, J.; Puche-Panadero, R.; Sapena-Bano, A.
Low-Computational-Cost Hybrid FEM-Analytical Induction Machine Model for the Diagnosis of Rotor Eccentricity, Based on Sparse Identification Techniques and Trigonometric Interpolation. Sensors 2021, 21, 6963.
https://doi.org/10.3390/s21216963
AMA Style
Terron-Santiago C, Martinez-Roman J, Puche-Panadero R, Sapena-Bano A.
Low-Computational-Cost Hybrid FEM-Analytical Induction Machine Model for the Diagnosis of Rotor Eccentricity, Based on Sparse Identification Techniques and Trigonometric Interpolation. Sensors. 2021; 21(21):6963.
https://doi.org/10.3390/s21216963
Chicago/Turabian Style
Terron-Santiago, Carla, Javier Martinez-Roman, Ruben Puche-Panadero, and Angel Sapena-Bano.
2021. "Low-Computational-Cost Hybrid FEM-Analytical Induction Machine Model for the Diagnosis of Rotor Eccentricity, Based on Sparse Identification Techniques and Trigonometric Interpolation" Sensors 21, no. 21: 6963.
https://doi.org/10.3390/s21216963
APA Style
Terron-Santiago, C., Martinez-Roman, J., Puche-Panadero, R., & Sapena-Bano, A.
(2021). Low-Computational-Cost Hybrid FEM-Analytical Induction Machine Model for the Diagnosis of Rotor Eccentricity, Based on Sparse Identification Techniques and Trigonometric Interpolation. Sensors, 21(21), 6963.
https://doi.org/10.3390/s21216963