Intelligent learning approach for UHF partial discharge localisation in air-insulated substations

Intelligent learning approach for UHF partial discharge localisation in air-insulated substations

To achieve comprehensive insulation deterioration motoring of power equipment and early fault warning in air-insulated substations, a data-driven partial discharge (PD) source localisation method employing noisy ultra-high frequency (UHF) received signal strength indicator (RSSI) and particle filter...

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Bibliographic Details
Main Authors: Quanfu Zheng, Lingen Luo, Hui Song, Gehao Sheng, Xiuchen Jiang
Format: Article
Language:English
Published: Wiley 2020-05-01
Series:High Voltage
Subjects:
kalman filters
regression analysis
partial discharge measurement
particle filtering (numerical methods)
wireless sensor networks
learning (artificial intelligence)
gas insulated substations
air insulation
uhf measurement
uhf detectors
computerised instrumentation
intelligent learning approach
uhf partial discharge localisation
air-insulated substations
power equipment
early fault warning
data-driven partial discharge source localisation method
particle filter
wireless sensor arrays
rssi-based methods
economical adaptability solution
shadowing effects
uhf signal attenuation
kalman filter
rssi signal
semiparametric regression model
rssi ranging model
mean pd source localisation error
insulation deterioration motoring
ultrahigh frequency received signal strength indicator
uhf time-difference-based techniques
uhf received signal strength indicator
size 1.16 m
Online Access:https://digital-library.theiet.org/content/journals/10.1049/hve.2019.0342

Internet

https://digital-library.theiet.org/content/journals/10.1049/hve.2019.0342

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