Proposed diagnostic methodology using the cross-correlation coefficient factor technique for power transformer fault identification

• Published in: IET electric power applications 2017-03, Vol.11 (3), p.412-422
• Main Authors: Saleh, Saber M, EL-Hoshy, Salah Hamdy, Gouda, Osama E
• Format: Article
• Language: English
• Subjects: axial fault; CCF technique; Chinese Standard factor DL 911‐2004; Coefficients; condition monitoring; cross‐correlation coefficient factor technique; CSF DL 911‐2004; diagnostic methodology; electromechanical forces; Fault detection; fault diagnosis; Faults; frequency response; high‐frequency transformer model; high‐voltage transformer side; low‐voltage transformer side; Mathematical models; Matlab; Matlab simulation; Methodology; power transformer fault identification; power transformers; radial fault; reliability; SC fault; SC‐to‐ground fault; SFRA classification; SFRA interpretation; SFRA signature; Short circuits; short‐circuit fault; sweep frequency response analysis; swept frequency measurements; transformer normal condition; transformer windings; Transformers; turn‐to‐turn fault
• ISSN: 1751-8660; 1751-8679; 1751-8679
• DOI: 10.1049/iet-epa.2016.0545

This study investigates the impact of electrical parameter variation of a high-frequency transformer model on its sweep frequency response analysis (SFRA) signature to help in classification and interpretation. The simulations have been done using MATLAB and compared with the reference data. The results of SFRA measurements are repeatable up to and beyond 1MHz. The proposed diagnostic methodology using the Cross-Correlation Coefficient Factor (CCF) is used to identify the transformer faults. CCF used to measure the degree of relationship between two variables that establish a relation between the predicted and actual data set. The results of this proposed methodology using the CCF compared with existing Chinese Standard factor (CSF) indicate that, the proposed method is valid to identify the transformer faults. Characteristics of the proposed scheme are fully analyzed by extensive MATLAB simulation studies that clearly reveal that this method can accurately identify the transformer faults compared with CSF. And also does not affected by different fault conditions such as transformer normal condition, Turn to Turn Fault for both HV, LV sides, Axial Fault and/or Radial Faults on both sides, Short Circuit Fault between H.V and L.V Sides, Short Circuit to Ground Fault for both HV, LV sides.