Partial Discharge Feature Extraction Based on Ensemble Empirical Mode Decomposition and Sample Entropy
نویسندگان
چکیده
منابع مشابه
Partial Discharge Feature Extraction Based on Ensemble Empirical Mode Decomposition and Sample Entropy
Partial Discharge (PD) pattern recognition plays an important part in electrical equipment fault diagnosis and maintenance. Feature extraction could greatly affect recognition results. Traditional PD feature extraction methods suffer from high-dimension calculation and signal attenuation. In this study, a novel feature extraction method based on Ensemble Empirical Mode Decomposition (EEMD) and ...
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ژورنال
عنوان ژورنال: Entropy
سال: 2017
ISSN: 1099-4300
DOI: 10.3390/e19090439