Fault diagnosis in turbine engines using unsupervised neural networks technique

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5439, Issue , 2004, Pages 150-158

  Kim, Kyusung ^a   Ball, Charles ^a   Nwadiogbu, Emmanuel ^a  

^a HONEYWELL   (United States)

Author keywords

Clustering; Fault diagnosis prognosis; Neural networks; Self organizing map; Turbine engines; Unsupervised learning

Indexed keywords

DATA ACQUISITION; EXHAUST GASES; FAULT TOLERANT COMPUTER SYSTEMS; GAS ENGINES; SELF ORGANIZING MAPS; SENSORS; TURBINES;

CLUSTERING; FAULT DIAGNOSIS/PROGNOSIS; UNSUPERVISED LEARNING;

NEURAL NETWORKS;

EID: 3543068117     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.542813     Document Type: Conference Paper

References (9)

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