If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

Application of Classifiers for On-line Monitoring of Transformer Winding Axial Displacement by Electromagnetic Non-destructive Testing

$61.74 plus tax (Refund Policy)

Buy Article:

Abstract:

Transformer winding on-line monitoring using electromagnetic non-destructive testing has been suggested in this article. As a test object, a simplified model of transformer has been used. The winding axial displacement can be modeled on the test object. The scattering parameters of the test object can be measured and stored in a database. To detect the axial displacement, two indices have been defined using the magnitude and phase of scattering parameters. The k-nearest neighbor and decision tree classifiers have been used for the detection of the winding axial displacement and its value. The accuracy of the k-nearest neighbor method to find the axial displacement value has been improved by using a proposed k-nearest neighbor regression algorithm. The comparison of the average error of two classifiers shows the superiority of the k-nearest neighbor regression over the decision tree classifier.

Keywords: decision tree; electromagnetic non-destructive testing; k-nearest neighbor; on-line monitoring; scattering parameters; transformer winding axial displacement

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/15325008.2010.528537

Affiliations: 1: Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran 2: School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran

Publication date: January 1, 2011

More about this publication?
Related content

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more