A practical intelligent system for condition monitoring and fault diagnosis of jet engines

35th Joint Propulsion Conference and Exhibit

Volumn , Issue , 1999, Pages

  Tang, Genglin ^a   Yates, Charlie L ^a   Zhang, Jin ^b   Chen, Daguang ^b  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b BEIHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AIR ENGINES; AIRCRAFT ENGINES; COMPUTER CIRCUITS; CONDITION MONITORING; ENGINES; FAILURE ANALYSIS; FIGHTER AIRCRAFT; FUZZY INFERENCE; FUZZY LOGIC; INTELLIGENT SYSTEMS; JET ENGINES; NEURAL NETWORKS; PROPULSION; RECONFIGURABLE HARDWARE;

AIRBORNE RECORDER; DIAGNOSIS AND PROGNOSIS; DIAGNOSTIC ACCURACY; ENGINE CONDITION MONITORING; GAS PATH COMPONENTS; MAINTENANCE ACTION; NEURAL TECHNOLOGIES; THREE CATEGORIES;

FAULT DETECTION;

EID: 84963812321     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Urban L.A., “Gas Path Analysis Applied to Turbine Condition Monitoring,” AIAA 72-1082, 1972.
2. Barwell M.J., “COMPASS-Ground Based Engine Monitoring Program for General Application,” SAE Technical Paper Series, 871734. '
3. P&W Co., “Engine Condition Monitoring II (ECMII) Training Guide,” 1990.
4. Rodvigue, M.E., ADEPT 6 Users Manual, General Electric, 1998.
5. Lakhmi CJain and N.M. Martin, “Fussion of Neural Networks, Fuzzy Sets, and Genetic Algorithm,” CRC Press, 1999.
6. Nikola K.Kasabov, “Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering,” The MIT Press, 1996.
7. Genglin Tang, Charlie L. Yates, and Daguang Chen, “Comparative Study of Two Neural Networks Applied to Jet Engine Fault Diagnosis,” AIAA 98-3549.
8. Fahlman S E, “ The Recurrent Cascade Correlation Architecture,” Technical Report CMU-CS-91-100, Department of CS, Carnegie Mellon Univ., Pittsburg, Pa, May 1991.