On-line diagnosis of incipient faults and cellulose degradation based on artificial intelligence methods

Proceedings of the 2004 IEEE International Conference on Solid Dielectrics ICSD 2004

Volumn 2, Issue , 2004, Pages 767-770

  Izzularab, M A ^a   Aly, G E M ^b   Mansour, D A ^b  

^a Menoufia University   (Egypt)

^b Tanta University   (Egypt)

Author keywords

Artificial Neural Network; Cellulose Degradation; Dissolved gas analysis; Fuzzy Logic; Transformer Fault Diagnosis

Indexed keywords

CARBON DIOXIDE; CARBON MONOXIDE; DEGRADATION; DIAGNOSIS; ELECTRIC TRANSFORMERS; FUZZY SETS; HYDROCARBONS; NEURAL NETWORKS; ONLINE SYSTEMS;

CELLULOSE DEGRADATION; DISSOLVED GAS ANALYSIS (DGA); ELECTRICAL ENERGY SUPPLY; TRANSFORMER FAULT DIAGNOSIS;

ARTIFICIAL INTELLIGENCE;

EID: 10044248526     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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