Distribution Transformer Parameters Detection Based on Low-Frequency Noise, Machine Learning Methods, and Evolutionary Algorithm

Distribution Transformer Parameters Detection Based on Low-Frequency Noise, Machine Learning Methods, and Evolutionary Algorithm

The paper proposes a method of automatic detection of parameters of a distribution transformer (model, type, and power) from a distance, based on its low-frequency noise spectra. The spectra are registered by sensors and processed by a method based on evolutionary algorithms and machine learning. Th...

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Bibliographic Details
Main Authors: Daniel Jancarczyk, Marcin Bernaś, Tomasz Boczar
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
low-frequency sensor
power transformer
machine learning
low-frequency noise
genetic algorithm
Online Access:https://www.mdpi.com/1424-8220/20/15/4332

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