Fault detection and isolation of a dual spool gas turbine engine using dynamic neural networks and multiple model approach

Information Sciences

Volumn 259, Issue , 2014, Pages 234-251

  Sadough Vanini, Z N ^a   Khorasani, K ^a   Meskin, N ^b  

^a Dept of Electrical and Computer Engineering   (Canada)

^b Qatar University   (Qatar)

Author keywords

Bank of detection and isolation filters; Dual spool gas turbine engine; Dynamic neural networks; Fault diagnosis; Multiple model scheme

Indexed keywords

AIRCRAFT JET ENGINES; DYNAMIC NEURAL NETWORKS; FAULT DETECTION AND ISOLATION; FAULT DETECTION AND ISOLATION SCHEMES; ISOLATION FILTER; MULTIPLE-MODEL APPROACHES; MULTIPLE-MODELING; UNMODELED DYNAMICS;

AIRCRAFT PROPULSION; CONTROL EQUIPMENT; FAILURE ANALYSIS; FAULT DETECTION; GAS TURBINES; NEURAL NETWORKS;

JET ENGINES;

EID: 84889672582     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2013.05.032     Document Type: Article

References (17)

1. I.A.-D. Al-Zyoud, K. Khorasani, Detection of actuator faults using a dynamic neural network for the attitude control subsystem of a satellite. In: Procceding of International Joint Conference on Neural Networks, Montreal, Canada, 2005, pp. 1746-1751.
2. M. Ayoubi, Fault diagnosis with dynamic neural structure and application to a turbocharger, in: Proc. Int. Symp. Fault Detection, Supervision and Safety for technical Process SAFEPROCESS'94, Espoo, Finland, 1994, pp. 618-623.
3. A. Green, D. Allen, Artificial-intelligence for real-time diagnostics and prognostics of gas-turbine engines, in: 33rd AIAA/SME/SAE/ASEE Joint Propulsion Conference and Exhibit, Seattle, WA, USA, 1997, pp. 6-9.
4. K. Kanelopoulos, A. Stamatis, K. Mathioudakis, Incorporating neural-networks into gas-turbine performance diagnostics, in: ASME 97-GT-35, International Gas-turbine & Aero-engine Congress & Exhibition, Orlando, Florida, 1997.
5. T. Kobayashi, D.L. Simon, Application of a bank of kalman filters for aircraft engine fault diagnostics, in: Proceeding of the ASME Turbo Expo Conference, Atlanta, GA, USA, 2003, pp. 461-470.
6. J. Korbicz, K. Patan, and A. Obuchowicz Dynamic neural networks for process modelling in fault detection and isolation systems International Journal of Applied Mathematics and Computer Science 9 3 1999 519 546
7. K. Mathioudakis, C. Romessis, and A. Stamatis Probabilistic methods for gas turbine fault diagnostics C. Sieverding, E. Mathioudakis, Gas Turbine Condition Monitoring and Fault Diagnosis 2003 von Karman Institute Belgium
8. N. Meskin, E. Naderi, and K. Khorasani A multiple model-based approach for fault diagnosis of jet engines IEEE Transactions on Control Systems Technology 21 1 2013 254 262
9. R. Mohammadi, E. Naderi, K. Khorasani, S. Hashtrudi-Zad, Fault diagnosis of gas turbine engines by using dynamic neural networks, in: 2011 IEEE International Conference on Quality and Reliability (ICQR), Bangkok, Thailand, 2011, pp. 25-30.
10. E. Naderi, N. Meskin, K. Khorasani, Fault diagnosis of jet engine by using a multiple model-based approach, in: Proceedings of ASME Turbo Expo, GT2010-23442, 2010.
11. E. Naderi, N. Meskin, and K. Khorasani Nonlinear fault diagnosis of jet engines by using a multiple model-based approach Journal of Engineering for Gas Turbines and Power 134 1 2012 10
12. S. Ogaji, Advanced Gas-Path Fault Diagnostics for Stationary Gas-Turbines, Phd thesis, Cranfield University, 2003.
13. K. Patan, and T. Parisini Identification of neural dynamic models for fault detection and isolation: the case of a real sugar evaporation process Journal of Process Control 15 1 2004 67 79
14. C. Romessis, A. Stamatis, K. Mathioudakis, A parametric investigation of the diagnostic ability of probabilistic neural networks on turbo fan engines, in: ASME, No. 2001-GT-11, 2001.
15. A. Valdes, K. Khorasani, L. Ma, Dynamic neural network-based fault detection and isolation for thrusters in formation flying of satellites, in: 6th International Symposium on Neural Networks, Advances in Neural Networks (ISNN 2009), 2009, pp. 780-793.
16. A. Yazdizadeh, and K. Khorasani Adaptive time delay neural network structures for nonlinear system identification Neurocomputing 47 2002 207 240
17. M. Zedda, R. Singh, Fault diagnosis of a turbofan engine using neural-networks: a quantitative approach, in: 34th AIAA, ASME, SAE, ASEE Joint Propulsion Conference and Exhibit, AIAA 98-3602, Cleveland, OH, 1998.