Condition data aggregation with application to failure rate calculation of power transformers

Jyotishman Pathak, Yong Jiang, Vasant Honavar, James McCalley

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

32 Scopus citations

Abstract

Cost-effective equipment maintenance for electric power transmission systems requires ongoing integration of information from multiple, highly distributed, and heterogeneous data sources storing various information about equipment. This paper describes a federated, query-centric data integration and knowledge acquisition framework for condition monitoring and failure rate prediction of power transformers. Specifically, the system uses substation equipment condition data collected from distributed data resources, some of which may be local to the substation, to develop Hidden Markov Models (HMMs) which transform the condition data into failure probabilities. These probabilities provide the most current knowledge of equipment deterioration, which can be used in system-level simulation and decision tools. The system is illustrated using dissolved gas-in-oil field data for assessing the deterioration level of power transformer insulating oil.

Original languageEnglish (US)
Title of host publicationProceedings of the 39th Annual Hawaii International Conference on System Sciences, HICSS'06
Pages241a
DOIs
StatePublished - Oct 17 2006
Event39th Annual Hawaii International Conference on System Sciences, HICSS'06 - Kauai, HI, United States
Duration: Jan 4 2006Jan 7 2006

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
Volume10
ISSN (Print)1530-1605

Other

Other39th Annual Hawaii International Conference on System Sciences, HICSS'06
CountryUnited States
CityKauai, HI
Period1/4/061/7/06

Keywords

  • Data Integration
  • Hidden Markov Models
  • Transformer Failure Mode Estimation

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Condition data aggregation with application to failure rate calculation of power transformers'. Together they form a unique fingerprint.

  • Cite this

    Pathak, J., Jiang, Y., Honavar, V., & McCalley, J. (2006). Condition data aggregation with application to failure rate calculation of power transformers. In Proceedings of the 39th Annual Hawaii International Conference on System Sciences, HICSS'06 (pp. 241a). [1579787] (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 10). https://doi.org/10.1109/HICSS.2006.93