An expert system for acoustic diagnosis of OLTCs and CBs is proposed.
The expert system can locate the cause of each anomaly in a broader spectrum.
Acoustic signature features have been extraction in both time and frequency domains.
Eminent speech processing techniques are utilized for feature extraction and comparison.
Repeated testing of same device may assure the accurate diagnosis.