Recognition Algorithm of Partial Discharge Pulse Sequence Based on CLAHE Enhancement
Pages 483 - 488
Abstract
Aiming at the diagnosis of the types of insulation defects in GIS, a partial discharge pulse sequence recognition algorithm based on CLAHE enhancement is proposed. First, use the CLAHE algorithm to process the PRPS map to achieve the enhancement of the discharge pulse target, enhance the visual characteristics of the data set, and improve the recognition effect. Then the ULBP of the PRPS map is calculated as the feature vector. Finally, the Adaboost cascade classifier is used to continuously improve the recognition rate until convergence. The experimental results show that the CLAHE enhancement algorithm overcomes the shortcomings of AHE's excessive distortion, and can greatly increase the contrast of the map while retaining sufficient local detail information to achieve the feature enhancement of the data set. Under the same ULBP feature extraction process and Adaboost convergence conditions, CLAHE enhancement increases the upper limit of the recognition rate from 93.36% to 96.09%, expanding the optimization space.
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Published In
December 2020
687 pages
ISBN:9781450388665
DOI:10.1145/3452940
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Published: 17 May 2021
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ICITEE2020
ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering
December 3 - 5, 2020
Hunan, Changde City, China
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