An Automatic Annotation and Pattern Recognition Method Based on Semisupervised ACGAN for Multisource Partial Discharge Diagnosis
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Dielectrics and Electrical Insulation"
DOI: 10.1109/tdei.2024.3403798
Abstract: The low on-site identification accuracy of data-driven partial discharge (PD) recognition methods is attributed to the overlap of features from multiple pulse sources and the inconsistent distribution of samples. To address the challenges of misreporting… read more here.
Keywords: method; recognition; partial discharge; discharge ... See more keywords
Multisource Partial Transfer Network for Machinery Fault Diagnostics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3135616
Abstract: As for some machineries in real industrial applications, it is difficult to obtain massive labeled data. Therefore, transfer learning is introduced to apply the knowledge learned from labeled datasets on the unlabeled data for the… read more here.
Keywords: transfer network; partial transfer; multisource partial; domain ... See more keywords
A Method for Separating Multisource Partial Discharges in a Substation Based on Selected Bispectra of UHF Signals
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DOI: 10.3390/app10113751
Abstract: A method for separating multisource partial discharges (PDs) in a substation is proposed based on selected bispectra of ultrahigh frequency (UHF) electromagnetic waves. Bispectra are sensitive to Gaussian noises and processes of symmetrical distribution. The… read more here.
Keywords: method separating; selected bispectra; substation; multisource partial ... See more keywords