FPGA based intelligent condition monitoring of induction motors: Detection, diagnosis, and prognosis

Proceedings of the IEEE International Conference on Industrial Technology

Volumn , Issue , 2011, Pages 373-378

  Akin, Erhan ^a   Aydin, Ilhan ^a   Karakose, Mehmet ^a  

^a FIRAT UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

BROKEN ROTOR BAR FAULT; DETECTION TIME; EXTENSIVE SIMULATIONS; FIELD-PROGRAMMABLE GATE ARRAY IMPLEMENTATIONS; HILBERT TRANSFORM; INTELLIGENT METHOD; NEGATIVE SELECTION ALGORITHM; PHASE CURRENTS; PHASE SPACES; STANDARD DEVIATION; THREE-PHASE CURRENTS;

ALGORITHMS; DIAGNOSIS; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); FUZZY LOGIC; FUZZY SYSTEMS; INDUCTION MOTORS; MATHEMATICAL TRANSFORMATIONS; NEURAL NETWORKS; PHASE SPACE METHODS; SIGNAL DETECTION; STATORS;

CONDITION MONITORING;

EID: 79955931438     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2011.5754405     Document Type: Conference Paper

References (12)

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