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 language | English (US) |
|---|---|
| Pages (from-to) | 165-176 |
| Number of pages | 12 |
| Journal | Engineering Intelligent Systems |
| Volume | 16 |
| Issue number | 3 |
| State | Published - 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