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

V. Ananthanarayanan, Keith Holbert

Research output: Contribution to journalArticle

1 Citation (Scopus)

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 2008

Fingerprint

Fuzzy logic
Sensors
Electric power systems
Fault detection

Keywords

  • Instrumentation fault diagnosis
  • Sensor anomaly detection
  • Signal validation

ASJC Scopus subject areas

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

Cite this

Power system sensor failure detection, isolation and characterization using fuzzy logic. / Ananthanarayanan, V.; Holbert, Keith.

In: Engineering Intelligent Systems, Vol. 16, No. 3, 09.2008, p. 165-176.

Research output: Contribution to journalArticle

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