An application of a discrete wavelet transform and a back-propagation neural network algorithm for fault diagnosis on single-circuit transmission line

DOI10.1080/00207721.2012.670290zbMath1322.94128OpenAlexW2122550718MaRDI QIDQ2872650

A. Ngaopitakkul, S. Bunjongjit

Publication date: 15 January 2014

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2012.670290

zbMATH Keywords

discrete wavelet transformfault diagnosistransmission linefault locationback-propagation neural networks

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Fault detection; testing in circuits and networks (94C12)

Related Items (1)

Rolling bearing fault diagnosis and health assessment using EEMD and the adjustment Mahalanobis–Taguchi system

Uses Software

• Neural Network Toolbox

Cites Work

• Instrument fault detection in systems with uncertainties
• The wavelet transform, time-frequency localization and signal analysis
• Fault detection using an adaptive fuzzy system
• Fault detection method for nonlinear systems based on probabilistic neural network filtering

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