Fault severity estimation process based on CNN (IMAGE)

CES Transactions on Electrical Machines and Systems

Fault severity estimation process based on CNN

Caption

Data processing uses the Fast Fourier transformation (FFT) to extract and normalize fault indicator amplitudes, forming sample data from ratios to normal steady-state values. A CNN is then trained on this data to deliver online short-circuit turn ratio estimation.

Credit

Yijia Huang

Usage Restrictions

Credit must be given to the creator. Only noncommercial uses of the work are permitted.

License

CC BY-NC

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