A condition monitoring vector database approach for broken bar fault diagnostics of induction machines

2005 IEEE International Conference on Electric Machines and Drives

Volumn , Issue , 2005, Pages 29-34

  Yeh, Chia Chou ^a,b,c   Mirafzal, Behrooz ^a,b,c   Povinelli, Richard J ^a,b,c   Demerdash, Nabeel A O ^a,b,c  

^a IEEE   (United States)

^b MARQUETTE UNIVERSITY   (United States)

^c Marquette University   (United States)

Author keywords

Artificial intelligence; Condition monitoring; Database; Fault diagnostics; Induction motor

Indexed keywords

CONDITION MONITORING VECTOR DATABASE (CMVDB); CONDITION MONITORING VECTORS (CMV); FAULT DIAGNOSTICS; MOTOR TERMINAL VOLTAGES;

ARTIFICIAL INTELLIGENCE; CONDITION MONITORING; DATABASE SYSTEMS; ELECTRIC FAULT CURRENTS; ELECTRIC IMPEDANCE; ELECTRIC WINDINGS; FINITE ELEMENT METHOD; MAGNETIC FIELDS; STATISTICAL MECHANICS; VECTORS;

INDUCTION MOTORS;

EID: 33749053639     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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