The application of the equipment fault diagnosis based on modified Elman neural network

Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011

Volumn 8, Issue , 2011, Pages 4135-4137

  Li, Jiejia ^a   Wu, Hao ^a   Pian, Jinxiang ^a  

^a SHENYANG JIANZHU UNIVERSITY   (China)

Author keywords

aluminum equipment; Elman neural network; fault diagnosis; wavelet fuction

Indexed keywords

ALUMINUM ELECTROLYSIS CELL; ELECTROLYTIC PROCESS; ELMAN NEURAL NETWORK; EQUIPMENT FAULT DIAGNOSIS; FAULT DIAGNOSIS MODEL; HIGH ENERGY CONSUMPTION; LOCAL OPTIMAL; MODIFIED ELMAN NEURAL NETWORKS; OUTPUT FEEDBACK; SIMULATION RESULT; WAVELET EXPANSION; WAVELET FUCTION; WAVELET FUNCTION;

ALUMINUM; ELECTROLYSIS; ELECTROLYTIC CELLS; ENERGY CONVERSION; ENERGY UTILIZATION; EQUIPMENT; INFORMATION TECHNOLOGY; MECHANICAL ENGINEERING; POWER QUALITY;

NEURAL NETWORKS;

EID: 80053434498     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMEIT.2011.6023961     Document Type: Conference Paper

References (5)

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