Power system sensor failure detection and characterization using fuzzy logic

Vidhyashree Ananthanarayanan, Keith Holbert

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

2 Scopus citations

Abstract

An approach to detect and characterize sensor failures in power systems is developed using fuzzy logic. Redundant sensor validation using short-term and long-term signal validation is used in the detection of abrupt and incipient faults. In addition, single (non-redundant) sensor validation is made possible using statistical quantities. Further, the anomalies are characterized as transients or jumps. The results from fault detection and characterization of synthetic data are provided in detail.

Original languageEnglish (US)
Title of host publicationSeries on Energy and Power Systems
EditorsA. Domijan, Jr.
Pages291-296
Number of pages6
StatePublished - 2004
EventProceedings of the Seventh IASTED International Conference on Power and Energy Systems - Clearwater Beach, FL, United States
Duration: Nov 28 2004Dec 1 2004

Other

OtherProceedings of the Seventh IASTED International Conference on Power and Energy Systems
CountryUnited States
CityClearwater Beach, FL
Period11/28/0412/1/04

Keywords

  • Fuzzy logic
  • Instrumentation fault diagnosis and characterization
  • Sensor anomaly detection
  • Signal validation

ASJC Scopus subject areas

  • Engineering(all)

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