Elman's recurrent neural network applications to condition monitoring in nuclear power plant and rotating machinery

Engineering Applications of Artificial Intelligence

Volumn 16, Issue 7-8, 2003, Pages 647-656

  Şeker, Serhat ^a   Ayaz, Emine ^a   Türkcan, Erdinç ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Bearing damages; Condition monitoring; Elman recurrent neural net; Induction motors; Nuclear power plant

Indexed keywords

BEARINGS (MACHINE PARTS); CONDITION MONITORING; GAS COOLED REACTORS; HIGH TEMPERATURE REACTORS; INDUCTION MOTORS; MACHINE VIBRATIONS; NUCLEAR POWER PLANTS; ROTATING MACHINERY;

MOTOR BEARING DAMAGE; VIBRATION SIGNALS;

RECURRENT NEURAL NETWORKS;

EID: 0348155956     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2003.10.004     Document Type: Article

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