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

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....

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Bibliographic Details
Published in:Applied sciences 2017-10, Vol.7 (10), p.1021
Main Authors: Gu, FengChang, Chen, HungCheng, Chao, MengHung
Format: Article
Language:English
Subjects:
Cables
Cross-linked polyethylene
Data processing
Defects
extension
fractal theory
improved Hilbert–Huang transform
Insulation
Nondestructive testing
partial discharge (PD)
Polyethylene
Power cables
Power supplies
Recognition
Repair & maintenance
Signal analysis
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Summary: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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app7101021