By Topic

Detection of Weak Seismo-Electric Signals Upon the Recordings of the Electrotelluric Field by Means of Neuro-Fuzzy Technology

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
A. Konstantaras ; Technol. Educational Inst. of Crete, Chania ; M. R. Varley ; F. Vallianatos ; J. P. Makris
more authors

This letter presents the development and application of prediction-based adaptive filters incorporated with neuro-fuzzy technology for the emergence and detection of weak electrotelluric potential anomalies appearing upon recordings of the Earth's electric field. Electric earthquake precursors (EEPs) are considered to be related with forthcoming seismic events and, in many cases, are hidden in the electrotelluric field background. Their detection can be further complicated by the probable appearance of severe transient fluctuations induced mainly by magnetic storms and/or other physical and anthropogenic types of noise. This application presents two neuro-fuzzy models trained to predict the recorded magnetic and electric fields' variations, respectively. The overall method aims to reveal and detect EEP signals upon the error signal, defined as the difference between the recorded electric field signal and the electric field signal predicted by the secondary neuro-fuzzy model, while the primary neuro-fuzzy model minimizes the effect of noise of magnetotelluric origin upon the recorded electric field

Published in:

IEEE Geoscience and Remote Sensing Letters  (Volume:4 ,  Issue: 1 )