Statistical health grade system against mechanical failures of power transformers

Chao Hu, Pingfeng Wang, Byeng D. Youn, Wook Ryun Lee, Joung Taek Yoon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A health grade system against mechanical faults of power transformers has been little investigated compared to those for chemical and electrical faults. This paper thus presents a statistical health grade system against mechanical faults in power transformers used in nuclear power plant sites where the mechanical joints and/or parts are the ones used for constraining transformer cores. Two health metrics-root mean square (RMS) and root mean square deviation (RMSD) of spectral responses at harmonic frequencies-are first defined using vibration signals acquired via in-site sensors on fifty-four power transformers in several nuclear power plants in sixteen months. We then investigate a novel multivariate statistical model, namely copula, to statistically model the populated data of the health metrics. The preliminary study shows that the proposed health metrics and statistical health grade system are feasible to monitor and predict the health condition of the mechanical faults in the power transformers.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference of the Prognostics and Health Management Society 2012, PHM 2012
PublisherPrognostics and Health Management Society
Pages191-203
Number of pages13
ISBN (Electronic)9781936263059
StatePublished - 2012
Externally publishedYes
Event2012 Annual Conference of the Prognostics and Health Management Society, PHM 2012 - Minneapolis, United States
Duration: Sep 23 2012Sep 27 2012

Other

Other2012 Annual Conference of the Prognostics and Health Management Society, PHM 2012
CountryUnited States
CityMinneapolis
Period9/23/129/27/12

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering
  • Health Information Management
  • Computer Science Applications

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