A new EMD-Shannon entropy-based methodology for detection of inter-turn faults in transformers

Today, transformers are basic elements and of great importance in electrical systems. Unfortunately, they are prone to failures, including short-circuit failures. Therefore, it is necessary to apply methodologies that help to detect faults in a timely manner to avoid damage to the transformer. In th...

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Bibliographic Details
Main Authors: Alvarez-Monroy, Gustavo, Mejia-Barron, Arturo, Rodriguez, Martin Valtierra, Granados-Lieberman, David, Olivares-Galvan, Juan C., Escarela-Perez, Rafael
Format: Conference Proceeding
Language:English
Subjects:
Circuit faults
empirical mode decomposition method
energization current
Entropy
Fault diagnosis
fault diagnostics
inter-turn faults
Oil insulation
Phase transformers
Power transformer insulation
Shannon entropy
Steady-state
transformers
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Summary:Today, transformers are basic elements and of great importance in electrical systems. Unfortunately, they are prone to failures, including short-circuit failures. Therefore, it is necessary to apply methodologies that help to detect faults in a timely manner to avoid damage to the transformer. In this paper, it is proposed a new methodology to identify short-circuit faults by means of a technique called Empirical Mode Decomposition (EMD), which decomposes the signals into new signals called Intrinsic Mode Functions (IMFs). These signals are analyzed with the entropy of Shannon in order to obtain indices that help to characterize the severity of the fault. The analyzed signals correspond to both a healthy condition and different short-circuited conditions, i.e., 10, 20, 30, and 40 turns. Results demonstrate the effectiveness of the proposal.
ISSN:2573-0770
DOI:10.1109/ROPEC.2017.8261688