Comparison of Impulse Wave and Sweep Frequency Response Analysis Methods for Diagnosis of Transformer Winding Faults
Citations
76 citations
Cites methods from "Comparison of Impulse Wave and Swee..."
...Aiming at the limitations of traditional methods above, with the rapid development of computer technology and artificial intelligence (AI) theory, multiple intelligence techniques, including artificial neural network (ANN) [37-46], expert system (EPS) [47-51], fuzzy theory [52-58], rough sets theory (RST) [36], grey system theory (GST) [59-66], and other intelligent diagnosis tools [5, 67-92] such as swarm intelligence (SI) algorithm, data mining technology, machine learning (ML), mathematical statistics method, WA (wavelet analysis), optimized neural network, BN (Bayesian network), and evidential reasoning approach, have been introduced to the research field of transformer fault diagnosis based on the DGA approach....
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35 citations
Cites background from "Comparison of Impulse Wave and Swee..."
...According to the inner insulation structure of power transformers [28,29], there are four possible different PD types, including floating discharge (FD), needle-plate discharge (ND), surface discharge (SD), and air-gap discharge (AD)....
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References
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