Improved multiple point nonlinear genetic algorithm based performance adaptation using least square method

Journal of Engineering for Gas Turbines and Power

Volumn 134, Issue 3, 2012, Pages

  Li, Y G ^c   Ghafir, M F Abdul ^a   Wang, L ^a   Singh, R ^a   Huang, K ^b   Feng, X ^b   Zhang, W ^b  

^a CRANFIELD UNIVERSITY   (United Kingdom)

^b AVIATION INDUSTRY CORPORATION OF CHINA   (China)

^c NONE

Author keywords

[No Author keywords available]

Indexed keywords

DESIGN; LEAST SQUARES APPROXIMATIONS;

ADAPTATION METHODS; DESIGN ADAPTATIONS; LEAST-SQUARES- METHODS; MULTIPLE POINTS; OFF DESIGN CONDITION; OFF DESIGNS; OFF-DESIGN POINTS; PERFORMANCE ADAPTATION; SCALING FACTORS; SEARCH RANGE;

GENETIC ALGORITHMS;

EID: 84855381485     PISSN: 07424795     EISSN: 15288919     Source Type: Journal    
DOI: 10.1115/1.4004395     Document Type: Article

References (16)

1. Stamatis, A., Mathioudakis, K., and Papailiou, K. D., 1990, "Adaptive Simulation of Gas Turbine Performance," J. Eng. Gas Turbines Power, 112(2), pp. 168-175.
2. Lambiris, B., Mathioudakis, K., Stamatis, A., and Papailiou, K., 1994, "Adaptive Modeling of Jet Engine Performance With Application of Condition Monitoring," J. Propul. Power, 10(6), pp. 890-896.
3. Kong, C., Ki, J., and Kang, M., 2003, "A New Scaling Method for Component Maps of Gas Turbine Using System Identification," J. Eng. Gas Turbines Power, 125(4), pp. 979-985. (Pubitemid 40231419)
4. Kong, C., Kho, S., and Ki, J., 2004, "Component Map Generation of a Gas Turbine Using Genetic Algorithms," ASME Conf. Proc. 2004(41723), Paper No. GT2004-53736, pp. 469-474.
5. Kong, C., and Ki, J., 2007, "Components Map Generation of Gas Turbine Engine Using Genetic Algorithms and Engine Performance Deck Data," J. Eng. Gas Turbines Power, 129(2), pp. 312-317. (Pubitemid 47490024)
6. Roth, B., Doel, D. L., Mavris, D., and Beeson, D., 2003, "High-Accuracy Matching of Engine Performance Models to Test Data," ASME Conf. Proc., 2003(36843), Paper No. GT2003-38784, pp. 129-137.
7. Roth, B. A., Doel, D. L., and Cissell, J. J., 2005, "Probabilistic Matching of Turbofan Engine Performance Models to Test Data," Volume 1: Turbo Expo 2005, Paper No. GT2003-38784, pp. 541-548. (Pubitemid 41635097)
8. Li, Y. G., Pilidis, P., and Newby, M. A., 2006, "An Adaptation Approach for Gas Turbine Design-Point Performance Simulation," J. Eng. Gas Turbines Power, 128(4), pp. 789-795. (Pubitemid 44965640)
9. Gatto, E. L., Li, Y. G., and Pilidis, P., 2006, "Gas Turbine Off-Design Performance Adaptation Using a Genetic Algorithm," ASME Conf. Proc., 2006 (42371), pp. 551-560. (Pubitemid 44714743)
10. Li, Y. G., Marinai, L., Gatto, E. L., Pachidis, V. A., and Pilidis, P., 2009, "Multiple Point Adaptive Performance Simulation Tuned to Aerospace Test-Bed Data," J. Propul. and Power, 25(3), p. 635-641.
11. Wang, L., Li, Y. G., and Singh, R., 2009, "Gas Turbine Off-Design Performance Model Improvement for Diagnostics (CM-2009-970)," The Sixth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies.
12. Gholamrezaei, M., and Ghorbanian, K., 2010, "Compressor Map Generation Using a Feed-Forward Neural Network and Rig Data," Proc. Inst. Mech. Eng., Part A: J. Power Energy, 224(1), pp. 97-108.
13. Li, Y. G., Abdul Ghafir, M., Wang, L., Singh, R., Huang, K., and Feng, X., 2011, "Non-linear Multiple Points Gas Turbine Off-Design Performance Adaptation Using a Genetic Algorithm," J. Eng. Gas Turbines Power, 133(7), p. 071701.
14. Li, Y. G., and Pilidis, P., 2010, "GA-Based Design-Point Performance Adaptation and its Comparison With ICM-Based Approach," Appl. Energy, 87(1), pp. 340-348.
15. Montgomery, D. C., Runger, G. C., and Hubele, N. F., 2003, Engineering Statistics, 3rd ed., Wiley, New York.
16. Li, Y. G., and Singh, R., 2005, "An Advanced Gas Turbine Gas Path Diagnostic System-PYTHIA," The XVII International Symposium on Air Breathing Engines, Munich, Germany, Paper No. ISABE-2005-1284.