New datum fusion technique for pattern recognition of four characteristic gases in transformer oil

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 21, Issue 8, 2001, Pages 10-14

  Zhang, Yong ^a   Li, Xin ^a   Liu, Jun Hua ^a   Wu, Hao Yang ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Artificial neural network; Characteristic gases of failures; Datum fusion; Electric power transformer; Pattern recognition

Indexed keywords

GAS DETECTORS; GENETIC ALGORITHMS; NEURAL NETWORKS; PATTERN RECOGNITION; SENSOR DATA FUSION; SIMULATED ANNEALING;

ELECTRIC POWER TRANSFORMER OIL; FAILURES CHARACTERISTIC GASES;

ELECTRIC TRANSFORMERS;

EID: 0035435294     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. Studies on data fusion methods in electronic noses based on genetic algorithm
2. Research on gas analysis with MOS gas sensor array and BP networks
3. Intelligent gas sensors with artificial neural networks
4. Combinations of genetic algorithm and neural network
5. Training feedforward neural networks using genetic algorithm
6. Designing neural network using genetic algorithm