变压器油保护器油位检测的最大熵分割与Gabor滤波算法

Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence Pub Date : 2020-10-17 DOI:10.1145/3438872.3439106

Yicen Liu, Yanling Mao, Tianbao Wu, Songhai Fan

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引用次数: 0

摘要

变压器是电力系统的重要枢纽，变压器油位的测量是一个难题。本文将最大熵分割算法与Gabor滤波算法相结合，用于变压器储油器油位的检测。实验表明，该算法对变压器储油器的油位检测效果良好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Maximum Entropy Segmentation and Gabor Filtering Algorithm for Transformer Oil Conservator Oil Level Detectio

Transformer is an important hub in the power system, and the measurement of transformer oil level is a difficult problem. In this paper, the maximum entropy segmentation algorithm and the Gabor filter algorithm are combined to detect the oil level of the transformer oil conservator. Experiments show that the algorithm has a good detection effect on the oil level of the transformer oil conservator.

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来源期刊

Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence

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