Robotics & Machine Learning Daily News2024,Issue(Jan.25) :12-12.

New Data from North China Electric Power University Illuminate Findings in Power and Energy Systems (Power Grid Fault Diagnosis Based On Deep Pyramid Convolutional Neural Network)

Robotics & Machine Learning Daily News2024,Issue(Jan.25) :12-12.

New Data from North China Electric Power University Illuminate Findings in Power and Energy Systems (Power Grid Fault Diagnosis Based On Deep Pyramid Convolutional Neural Network)

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Abstract

By a News Reporter-Staff News Editor at Network Daily News - Fresh dataon Energy-Power and Energy Systems are presented in a new report. According to news originatingfrom Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Existing power gridfault diagnosis methods rely on manual experience to design diagnosis models, lack the ability to extractfault knowledge, and are difficult to adapt to complex and changeable engineering sites. Considering thissituation, this paper proposes a power grid fault diagnosis method based on a deep pyramid convolutionalneural network for the alarm information set.”

Key words

Beijing/People’s Republic of China/Asia/Power and Energy Systems/Energy/Convolutional Network/Emerging Technologies/Machine Learning/Networks/Neural Networks/North China Electric Power University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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