Power system sensor failure detection, isolation and characterization using fuzzy logic

V. Ananthanarayanan, Keith Holbert

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

fuzzy logic is employed to develop a rule-based approach to detect, isolate and characterize sensor failures in electric power systems. Redundant sensor validation using instantaneous and episodic signal validation is used in the detection of abrupt and incipient faults, respectively. In addition, sensor anomaly characterization is accomplished via a fuzzy logic system incorporating diverse statistical signatures. Sensor anomalies are characterized as spikes and/or jumps. Simulation results from fault detection, isolation and characterization of sinusoidal and non-sinusoidal data are presented.

Original languageEnglish (US)
Pages (from-to)165-176
Number of pages12
JournalEngineering Intelligent Systems
Volume16
Issue number3
StatePublished - Sep 1 2008

Keywords

  • Instrumentation fault diagnosis
  • Sensor anomaly detection
  • Signal validation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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