Raja, H.A.; Kudelina, K.; Asad, B.; Vaimann, T.; Kallaste, A.; Rassõlkin, A.; Khang, H.V.
Signal Spectrum-Based Machine Learning Approach for Fault Prediction and Maintenance of Electrical Machines. Energies 2022, 15, 9507.
https://doi.org/10.3390/en15249507
AMA Style
Raja HA, Kudelina K, Asad B, Vaimann T, Kallaste A, Rassõlkin A, Khang HV.
Signal Spectrum-Based Machine Learning Approach for Fault Prediction and Maintenance of Electrical Machines. Energies. 2022; 15(24):9507.
https://doi.org/10.3390/en15249507
Chicago/Turabian Style
Raja, Hadi Ashraf, Karolina Kudelina, Bilal Asad, Toomas Vaimann, Ants Kallaste, Anton Rassõlkin, and Huynh Van Khang.
2022. "Signal Spectrum-Based Machine Learning Approach for Fault Prediction and Maintenance of Electrical Machines" Energies 15, no. 24: 9507.
https://doi.org/10.3390/en15249507
APA Style
Raja, H. A., Kudelina, K., Asad, B., Vaimann, T., Kallaste, A., Rassõlkin, A., & Khang, H. V.
(2022). Signal Spectrum-Based Machine Learning Approach for Fault Prediction and Maintenance of Electrical Machines. Energies, 15(24), 9507.
https://doi.org/10.3390/en15249507