Application of the Hilbert-Huang transform with fractal feature enhancement on partial discharge recognition of power cable joints

IET Science, Measurement and Technology

Volumn 6, Issue 6, 2012, Pages 440-448

  Gu, F C ^a   Chang, H C ^a   Chen, F H ^a   Kuo, C C ^b   Hsu, C H ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b ST JOHN'S UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC EMISSION SENSORS; ACOUSTIC SIGNALS; CROSSLINKED POLYETHYLENE; DEFECT TYPE; EMPIRICAL MODE DECOMPOSITION; ENERGY SPECTRA; FEATURE PARAMETERS; FRACTAL FEATURE; FRACTAL THEORY; HILBERT; HILBERT HUANG TRANSFORMS; INSTANTANEOUS FREQUENCY; PARTIAL DISCHARGE RECOGNITION; PD PATTERN; POWER CABLE JOINTS; RANDOM NOISE; XLPE POWER CABLES;

CABLE JOINTING; DEFECTS; FRACTALS; PATTERN RECOGNITION; SIGNAL PROCESSING; SPECTROSCOPY; TELECOMMUNICATION CABLES; THREE DIMENSIONAL COMPUTER GRAPHICS;

PARTIAL DISCHARGES;

EID: 84868024850     PISSN: 17518822     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-smt.2011.0213     Document Type: Article

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