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Appl. Sci. 2017, 7(10), 1021; doi:10.3390/app7101021

Application of Improved Hilbert–Huang Transform to Partial Discharge Defect Model Recognition of Power Cables

Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41107, Taiwan
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Received: 28 August 2017 / Revised: 28 September 2017 / Accepted: 1 October 2017 / Published: 4 October 2017
(This article belongs to the Section Energy)
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Abstract

As a key concern in a power system, a deteriorated insulation is likely to bring about a partial discharge phenomenon and hence degrades the power supply quality. Thus, a partial discharge test has been turned into an approach of significance to protect a power system from an unexpected malfunction. An improved Hilbert–Huang Transformation (HHT) is proposed in this work as an effective way to address the issues of an optimal shifting number and illusive components, both suffered in a conventional HHT approach, and is then applied to a defect mode recognition for a partial discharge signal analysis in the case of a cross-linked polyethylene insulated power cable. As the first step, the partial discharge signal detected is converted through the proposed improved HHT to a time-frequency-energy 3D spectrum. Then as the second step, the fractal features contained therein are extracted by way of a fractal theory, and in the end the defect modes are recognized as intended by use of an extension method. View Full-Text
Keywords: extension; fractal theory; improved Hilbert–Huang transform; partial discharge (PD) extension; fractal theory; improved Hilbert–Huang transform; partial discharge (PD)
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Gu, F.; Chen, H.; Chao, M. Application of Improved Hilbert–Huang Transform to Partial Discharge Defect Model Recognition of Power Cables. Appl. Sci. 2017, 7, 1021.

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