State Identification of Transformer Under DC Bias Based on Wavelet Singular Entropy
نویسندگان
چکیده
To identify the DC bias state of transformers, a identification method transformer based on wavelet singular entropy is proposed in this paper. The vibration principle transformers under has been analyzed. By combining continuous transform, value decomposition, and information entropy, analysis proposed. signal before after transformed by then time-frequency diagram compared Furthermore, identified signal. different states numerical ranges, significantly greater than that no bias. effectively reflects transformers. Then applied to 500 kV 220 China Southern Power Grid. results show can accurately
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2021.3072913