Online Fault Monitoring of On-Load Tap-Changer Based on Voiceprint Detection ()
ABSTRACT
The
continuous operation of On-Load Tap-Changers (OLTC) is essential for
maintaining stable voltage levels in power transmission and distribution
systems. Timely fault detection in OLTC is essential for preventing major
failures and ensuring the reliability of the electrical grid. This research
paper proposes an innovative approach that combines voiceprint detection using
MATLAB analysis for online fault monitoring of OLTC. By leveraging advanced
signal processing techniques and machine learning algorithms in MATLAB, the
proposed method accurately detects faults in OLTC, providing real-time
monitoring and proactive maintenance strategies.
Share and Cite:
Bondo, K. (2024) Online Fault Monitoring of On-Load Tap-Changer Based on Voiceprint Detection.
Journal of Power and Energy Engineering,
12, 48-59. doi:
10.4236/jpee.2024.123004.
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