Application of self-organising map algorithm for analysis and interpretation of dissolved gases in power transformers

K F Thang, R K Aggarwal, A J McGrail, D G Esp

Research output: Contribution to conferencePaper

10 Citations (Scopus)

Abstract

Onset of incipient faults in power transformers can degrade the mineral oil and cellulose insulation, leading to the formation of dissolved gases. The process from oil sampling to quantification of gases is known as dissolved gas analysis (DGA). Despite the availability of DGA interpretation schemes and artificial intelligence (AI) methods for transformer condition monitoring (CM) based on DGA data, it is pointed out in this paper that these approaches are less than ideal and practical in implementation. In view of that, this paper illustrates a novel approach for analysis and interpretation of DGA data, which leads to a more credible CM of power transformers. The proposed approach, which is based on the self-organising map (SOM) algorithm, has been validated using real fault-cases and thereby is proven to be more reliable in portraying the current condition of power transformers
LanguageEnglish
Pages1881-1886 vol.3
StatusPublished - 2001
EventPower Engineering Society Summer Meeting, 2001. IEEE -
Duration: 1 Jan 2001 → …

Conference

ConferencePower Engineering Society Summer Meeting, 2001. IEEE
Period1/01/01 → …

Fingerprint

Gas fuel analysis
Power transformers
Self organizing maps
Condition monitoring
Gases
Mineral oils
Artificial intelligence
Insulation
Cellulose
Availability
Sampling

Keywords

  • mineral oil
  • self-organising map algorithm
  • dissolved gases formation
  • insulation testing
  • cellulose insulation
  • power transformers incipient faults detection
  • power engineering computing
  • self-organising feature maps
  • power transformer testing
  • power transformer insulation
  • artificial intelligence
  • fault diagnosis
  • condition monitoring
  • transformer condition monitoring
  • electric breakdown
  • dissolved gas analysis
  • computerised monitoring

Cite this

Thang, K. F., Aggarwal, R. K., McGrail, A. J., & Esp, D. G. (2001). Application of self-organising map algorithm for analysis and interpretation of dissolved gases in power transformers. 1881-1886 vol.3. Paper presented at Power Engineering Society Summer Meeting, 2001. IEEE, .

Application of self-organising map algorithm for analysis and interpretation of dissolved gases in power transformers. / Thang, K F; Aggarwal, R K; McGrail, A J; Esp, D G.

2001. 1881-1886 vol.3 Paper presented at Power Engineering Society Summer Meeting, 2001. IEEE, .

Research output: Contribution to conferencePaper

Thang, KF, Aggarwal, RK, McGrail, AJ & Esp, DG 2001, 'Application of self-organising map algorithm for analysis and interpretation of dissolved gases in power transformers' Paper presented at Power Engineering Society Summer Meeting, 2001. IEEE, 1/01/01, pp. 1881-1886 vol.3.
Thang KF, Aggarwal RK, McGrail AJ, Esp DG. Application of self-organising map algorithm for analysis and interpretation of dissolved gases in power transformers. 2001. Paper presented at Power Engineering Society Summer Meeting, 2001. IEEE, .
Thang, K F ; Aggarwal, R K ; McGrail, A J ; Esp, D G. / Application of self-organising map algorithm for analysis and interpretation of dissolved gases in power transformers. Paper presented at Power Engineering Society Summer Meeting, 2001. IEEE, .
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