Neural network-based adaptive monitoring system for power transformer

American Society of Mechanical Engineers, Dynamic Systems and Control Division (Publication) DSC

Volumn 67, Issue , 1999, Pages 511-520

  Ottele, Andy ^a   Shoureshi, Rahmat ^a   Torgerson, Duane ^b   Work, John ^b  

^a Department of Geology and Geological Engineering   (United States)

^b Western Area Power Administration   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CURRENT VOLTAGE CHARACTERISTICS; ELECTRIC POWER DISTRIBUTION; ELECTRIC POWER FACTOR; ELECTRIC POWER TRANSMISSION; ELECTRIC TRANSFORMER LOADS; ELECTRIC TRANSFORMERS; MATHEMATICAL MODELS; NEURAL NETWORKS; TEMPERATURE;

ADAPTIVE MONITORING SYSTEM; HOPFIELD NEURAL NETWORKS; HUMIDITY MEASUREMENT; ROBUST FAILURE DIAGNOSTIC TECHNIQUE; SENSORY SYSTEM; SOLAR FLUX; WIND VELOCITY;

ADAPTIVE SYSTEMS;

EID: 0033299039     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

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