Condition Assessment of Power Circuit Breakers Based on Machine Learning Algorithms
نویسندگان
چکیده
This paper presents two approaches to power circuit breakers condition assessment. The first one covers a wide variety of machine learning classification algorithms where the input for is manually selected feature set. second utilizes deep based on convolutional neural network. Both revolve around idea behind spectral kurtosis, which exploits its visual representation in form kurtogram . approach uses kurtosis curve as base extraction while kurtogram single into validation performed large set vibration signatures and compared competing state-of-the-art algorithms. results indicate promising features proposed approach.
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ژورنال
عنوان ژورنال: IEEE Transactions on Power Delivery
سال: 2023
ISSN: ['1937-4208', '0885-8977']
DOI: https://doi.org/10.1109/tpwrd.2023.3248157