Fault classification in a transmission line using discrete wavelet transform and artificial neural networks
Occurrence of fault in transmission line can cause loss of power to consumer. When fault occur, it is important to have a system that can identify the types of fault thus can make fast corrective action. The Matlab/Simulink is used to simulate four different types of fault signals in transmission li...
Saved in:
主要作者: | Makerly, Harnetta Hashleynna |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2019
|
主题: | |
在线阅读: | http://eprints.utm.my/id/eprint/84045/1/HarnettaHashleynnaMSKE2019.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
SESB'S 275 kV transmission line fault classification using wavelet-based neural networks
由: Abdul Rashid, Norazlina @ Nora
出版: (2022) -
Fault detection and classification using Artificial Neural Network (ANN)
由: Mohd. Lutpee, Irdina Nadhrah
出版: (2022) -
Parameter identification for fault detection of power transformer using artificial neural network
由: Rosli, Ruzaini
出版: (2015) -
Development of A Discrete Wavelet Transform and Artificial Neural Network Based Classification System for Mammogram Images
由: Mina, Luqman Mahmood
出版: (2016) -
Image zooming and enhancement using inverse discrete wavelet transform
由: Jaswadi, Norli
出版: (2009)