Cart (Loading....) | Create Account
Close category search window
 

Automated Loaded Transmission-Line Testing Using Pattern Recognition Techniques

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

1 Author(s)

A pattern recognition approach to the automatic testing of loaded transmission lines is investigated. The pattern recognition technique selected allows automatic testing of a loaded line requiring, as data, only the magnitude of the input impedance of the line over the frequencies of interest. For standard voice quality lines, these frequencies lie between 200-4000 Hz. Thirty-two features are automatically extracted from the input impedance and used as the input to a minimum-mean-square weighted distance classifier. The classifier determines the nature and location of the line fault, if any, for the line under test. Twenty different line configurations or classes are experimentally investigated. A training set of five lines for each line class is used to obtain statistical data for each class. Thirty-six transmission lines are then tested. All 36 of these transmission lines were correctly identified as to the configuration of the line and the nature and location of any existing fault.

Published in:

Instrumentation and Measurement, IEEE Transactions on  (Volume:24 ,  Issue: 1 )

Date of Publication:

March 1975

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.