eprintid: 407
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/04/07
datestamp: 2023-11-09 15:16:02
lastmod: 2023-11-09 15:16:02
status_changed: 2023-11-09 15:14:29
type: conference_item
metadata_visibility: show
creators_name: Rao, K.S.R.
creators_name: Nashruladin, K.N.
title: Artificial neural networks and genetic algorithm for transformer winding/insulation faults
ispublished: pub
keywords: Accuracy rates; Artificial Neural Network; Detection methods; Dissolved gas analysis; Dissolved gas-in-oil analysis; Early faults; Gas ratios; On-line operations; Training methods; Transformer fault detection and diagnosis, Backpropagation; Dissolution; Electric fault location; Fault detection; Gases; Genetic algorithms; Oil filled transformers, Neural networks
note: cited By 0; Conference of 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008 ; Conference Date: 2 April 2008 Through 4 April 2008; Conference Code:75519
abstract: This paper presents an application of Artificial Neural Network and Genetic Algorithm for transformer winding/insulation faults diagnosed using Dissolved Gas in Oil Analysis. A back propagation training method is applied in neural network to detect the faults without cellulose involvement. Genetic Algorithm is used to derive the optimal key gas ratios to enhance the accuracy of fault detection. The dissolved gas in oil analysis method is known to be an early fault detection method and enables to carry out diagnosis during online operation of the transformer. Besides, the condition of the transformer could be monitored continuously by time to time. The results are compared between the real and predicted faults to observe the accuracy rate of the system.
date: 2008
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-62449167627&partnerID=40&md5=d2e1f283b0ba197ba105a278ea3d021d
full_text_status: none
publication: Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008
place_of_pub: Langkawi
pagerange: 239-243
refereed: TRUE
isbn: 9780889867321
citation:   Rao, K.S.R. and Nashruladin, K.N.  (2008) Artificial neural networks and genetic algorithm for transformer winding/insulation faults.  In: UNSPECIFIED.