Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Liverpool
Article title
Association Rule Mining-Based Dissolved Gas Analysis for Fault Diagnosis of Power Transformers
Type
D - Journal article
Title of journal
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
Article number
-
Volume number
39
Issue number
6
First page of article
597
ISSN of journal
1558-2442
Year of publication
2009
URL
-
Number of additional authors
3
Additional information
This paper presents a novel association rule mining (ARM)-based dissolved gas analysis approach for fault diagnosis of power transformers. The technique provides the ability to generate empirical rules from conventional dissolved gas analysis.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
