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

被引：0

作者：

Ananthanarayanan, V. ^{[1
]}

Holbert, K. E. ^{[1
]}

机构：

[1] Arizona State Univ, Dept Elect Engn, Tempe, AZ 85287 USA

来源：

ENGINEERING INTELLIGENT SYSTEMS FOR ELECTRICAL ENGINEERING AND COMMUNICATIONS | 2009年 / 16卷 / 03期

关键词：

Signal validation; sensor anomaly detection; instrumentation fault diagnosis; FAULT-DETECTION; ANALYTICAL REDUNDANCY; DIAGNOSIS; VALIDATION; IDENTIFICATION; KNOWLEDGE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：165 / 176

页数：12

共 44 条

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