Power Transformers OLTC Condition Monitoring Based on Feature Extraction from Vibro-Acoustic Signals: Main Peaks and Euclidean Distance

The detection of On-Load Tap-Changer (OLTC) faults at an early stage plays a significant role in the maintenance power transformers, which is most strategic component network substations. Among OLTC fault methods, vibro-acoustic signal analysis known as performant approach with ability to detect many different types. Extracting characteristic features from measured envelopes promising precisely diagnose faults. present research work focused on developing methodology detect, locate, and track changes on-line monitored based main peaks extraction Euclidean distance analysis. monitoring systems have been installed transformers services allowed recording rich dataset real time. proposed was applied six datasets detailed reported. results demonstrate capability recognizing, following, localizing that cause over