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Partial Discharge Pattern Recognition of XLPE Cable Based on Vector Quantization
- Source :
- IEEE Transactions on Magnetics. 55:1-4
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- The apparent charge sequence of cable joint samples with typical defects at different test voltages is utilized as a feature for pattern recognition of partial discharge (PD). The vector quantization and fast matching algorithm are introduced to realize PD pattern recognition of the cable. First, the codebook design makes use of Linde–Buzo–Gray encoding technology. Second, the code matrices of PD training samples and testing samples under different defects of cable joints are obtained, and the code occurrence frequency matrix is calculated. Finally, a fast matching algorithm is used to match the code occurrence frequency matrices of training and testing samples. The defect type with the highest matching degree is chosen as the recognition result. The recognition results of 100 samples of cable joints with four defect types demonstrate that the recognition algorithm has the advantages of high execution efficiency and high-recognition rate.
- Subjects :
- 010302 applied physics
Matching (graph theory)
business.industry
Computer science
Vector quantization
Codebook
Pattern recognition
01 natural sciences
Electronic, Optical and Magnetic Materials
Computer Science::Computer Vision and Pattern Recognition
Distortion
0103 physical sciences
Partial discharge
Pattern recognition (psychology)
Feature (machine learning)
Artificial intelligence
Electrical and Electronic Engineering
business
Blossom algorithm
Subjects
Details
- ISSN :
- 19410069 and 00189464
- Volume :
- 55
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Magnetics
- Accession number :
- edsair.doi...........1d7e004d193b001c77999d5c56b3a6f9