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Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGA.
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- Sensors (14248220), 2021, v. 21, n. 11, p. 3598, doi. 10.3390/s21113598
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Variational Mode Decomposition-Based Processing for Detection of Short-Circuited Turns in Transformers Using Vibration Signals and Machine Learning.
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- Electronics (2079-9292), 2024, v. 13, n. 7, p. 1215, doi. 10.3390/electronics13071215
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- Article
Automatic Knee Injury Identification through Thermal Image Processing and Convolutional Neural Networks.
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- Electronics (2079-9292), 2022, v. 11, n. 23, p. 3987, doi. 10.3390/electronics11233987
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- Article
Time-Frequency Analysis and Neural Networks for Detecting Short-Circuited Turns in Transformers in Both Transient and Steady-State Regimes Using Vibration Signals.
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- Applied Sciences (2076-3417), 2023, v. 13, n. 22, p. 12218, doi. 10.3390/app132212218
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- Article
Vibration Signal Processing-Based Detection of Short-Circuited Turns in Transformers: A Nonlinear Mode Decomposition Approach.
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- Mathematics (2227-7390), 2020, v. 8, n. 4, p. 575, doi. 10.3390/math8040575
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- Article
Contrast Estimation in Vibroacoustic Signals for Diagnosing Early Faults of Short-Circuited Turns in Transformers under Different Load Conditions.
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- Energies (19961073), 2022, v. 15, n. 22, p. 8508, doi. 10.3390/en15228508
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- Article