Startup fault detection and diagnosis in turbine engines

IEEE Aerospace Conference Proceedings

Volumn 7, Issue , 2003, Pages 3069-3074

  Menon, Sunil ^a   Uluyol, Onder ^a   Kini, Kyusung ^a   Nwadiogbu, Emmanuel O ^b  

^a HONEYWELL TECHNOLOGY CENTER   (United States)

^b not available   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENGINES; NEURAL NETWORKS;

CONVENTIONAL METHODS; FAULT DETECTION AND DIAGNOSIS; FAULT DETECTION AND DIAGNOSIS METHODS; NEURAL NETWORK TRAINING; OBJECTIVE EVALUATION; START-UP CHARACTERISTICS; STEADY-STATE CONDITION; TRANSIENT START-UP;

FAULT DETECTION;

EID: 84879384324     PISSN: 1095323X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AERO.2003.1234149     Document Type: Conference Paper

References (4)

1. D. Mylaraswamy and V. Venkatasubramanian, "A Hybrid Framework for Large Scale Process Fault Diagnosis," 3G'h European Symposium on Process Systems Engineering, 1997.
2. D. Gorinevsky et al., "Model-Based Diagnostics for an Aircraft Auxiliary Power Unit," lEEE Conference on Control Applications, September 18-20,2002.
3. Christopher Bishop, Neural Nerworks for Pattern Recognition. New York Oxford University Press, 1995.
4. Erick van der Werf and R.P.W. Duin, "Improved Image Features by Training Non-linear Diabolo Networks," 1999 ASCI Conference Proceedings, June 15-17 1999.