By Topic

Magnetic flowmeter neural-wavelet diagnostics system

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
$31 $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

3 Author(s)
Gao, R. ; Purdue Univ., West Lafayette, IN, USA ; Eryurek, E. ; Tsoukalas, L.H.

Magnetic flow meters (magmeters) are instruments for measuring the velocity of flow in many industrial fields. The signal that comes from a magmeter is noisy and conventional techniques are often not effective enough in dealing with noisy situations. Neural networks have proven capabilities for data handling in noisy circumstances. A novel approach based on wavelet-neural networks is presented. The stability, accuracy and response time characteristics of the presented neural-wavelet approach have been tested and the results are found to be highly promising

Published in:

Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on

Date of Conference:

1999