Empirical mode decomposition and neural networks on FPGA for fault diagnosis in induction motors

The Scientific World Journal

Volumn 2014, Issue , 2014, Pages

  Camarena Martinez, David ^a   Valtierra Rodriguez, Martin ^a   Garcia Perez, Arturo ^b   Osornio Rios, Roque Alfredo ^a   Romero Troncoso, Rene De Jesus ^b  

^a UNIVERSIDAD AUTÓNOMA DE QUERÉTARO   (Mexico)

^b UNIVERSITY OF GUANAJUATO   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; EMPIRICAL MODE DECOMPOSITION; EQUIPMENT; FIELD PROGRAMMABLE GATE ARRAY; INDUCTION MOTOR; METHODOLOGY; NONLINEAR SYSTEM; ONLINE SYSTEM; POWER SUPPLY; SIGNAL PROCESSING; ALGORITHM; HUMAN;

ALGORITHMS; HUMANS; NEURAL NETWORKS (COMPUTER);

EID: 84896364160     PISSN: None     EISSN: 1537744X     Source Type: Journal    
DOI: 10.1155/2014/908140     Document Type: Article

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