Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/18779
Title: Fault characterization of partial discharge
Authors: Thong, Kok Wai.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electric power
Issue Date: 2008
Abstract: Partial discharge (PD) has been a main concern in electrical insulation degradation and this research work was to establish a method to understand and characterize the PD phenomena for fault diagnosis. For this purpose digital processing techniques are applied to study the clear distinction of the discharge behavior. Signal pre-processing, spectral analysis and clustering method were developed to generate a PD database in order to support the discharge evaluation. The algorithmic design can affect the preprocessing, feature extraction, feature selection and classification of the PD data. Data were obtained form laboratory experiments with test models simulating the PD sources raised to the inception voltage. The stochastic PD signals were measured with sufficient number of sampled points in 20 ms. The individual PD pulse was filtered, extracted and analyzed by digital signal processing techniques.
URI: http://hdl.handle.net/10356/18779
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

Files in This Item:
File Description SizeFormat 
ThongKokWai08.pdf
  Restricted Access
3.94 MBAdobe PDFView/Open

Page view(s)

231
checked on Sep 30, 2020

Download(s)

8
checked on Sep 30, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.