Implementation of Support Vector Machine Algorithm in a Real-time BLDC Motor Bearing Fault Classification with Discrete Wavelet Transform as Feature Extractor

Brushless DC (BLDC) Motors are integral to industrial operations. Continuous motor usage can lead to various faults with significant consequences if left unaddressed. These faults may impact the motor, its surrounding system, disrupt economic activities, and potentially result in catastrophic failur...

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Veröffentlicht in:	2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) S. 1 - 6
Hauptverfasser:	Masangkay, Shan Joshua Raym C., Mendigoria, Lester Joseph B., Reyes, Ivan Ross M., Ostia, Conrado F.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 26.08.2024
Schlagworte:	Accuracy Arduino Programming Brushless DC Motor Classification algorithms Discrete Wavelet Transform Discrete wavelet transforms Fault diagnosis Feature Classification Feature extraction Haar wavelet MATLAB Simulink Motor Fault Diagnosis Motors Real-time bearing fault diagnosis Real-time systems Support Vector Machine Support vector machines Testing Wavelet analysis
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