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2016 | OriginalPaper | Chapter

Improving Load Signal and Fatigue Life Estimation for Helicopter Components Using Computational Intelligence Techniques

Authors : Catherine Cheung, Julio J. Valdés, Jobin Puthuparampil

Published in: Recent Advances in Computational Intelligence in Defense and Security

Publisher: Springer International Publishing

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Abstract

The accurate estimation of helicopter component loads is an important factor in life cycle management and life extension efforts. This chapter explores continued efforts to utilize a number of computational intelligence algorithms, statistical and machine learning techniques, such as artificial neural networks, evolutionary algorithms, fuzzy sets, residual variance analysis, and others, to estimate some of these helicopter dynamic loads. For load prediction using indirect computational methods to be practical and accepted, demonstrating slight over-prediction of these loads is preferable to ensure that the impact of the actual load cycles is captured by the prediction and to incorporate a factor of safety. Subsequent calculation of the component’s fatigue life can verify the slight over-prediction of the load signal. This chapter examines a number of techniques for encouraging slight over-prediction and favoring a conservative estimate for these loads. Estimates for the main rotor normal bending on the Australian S-70-A-9 Black Hawk helicopter during a left rolling pullout at 1.5 g manoeuvre were generated from an input set consisting of thirty standard flight state and control system parameters. The results of this work show that when using a combination of these techniques, a reduction in under-prediction and increase in over-prediction can be achieved. In addition to load signal estimation, the component’s fatigue life and load exceedances can be estimated from the predicted load signal. In helicopter life cycle management, these metrics are more useful performance measures (as opposed to mean squared error or correlation of the load signal), therefore this chapter describes the process followed to calculate these measures from the load signal using Rainflow counting, material specific fatigue data (S-N curves), and damage theory. An evaluation of the proposed techniques based on the fatigue life estimates and/or load exceedances is also made.

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Literature
1.
go back to reference Lombardo, D.: Helicopter structures—a review of loads, fatigue design techniques and usage monitoring. Technical Report ARL-TR-15, Defence Science and Technology Organisation, 1993 Lombardo, D.: Helicopter structures—a review of loads, fatigue design techniques and usage monitoring. Technical Report ARL-TR-15, Defence Science and Technology Organisation, 1993
2.
go back to reference Valdés, J.J., Cheung, C., Wang, W.: Evolutionary computation methods for helicopter loads estimation. In: 2011 IEEE Congress on Evolutionary Computation (CEC), pp. 1589–1596. June 2011 Valdés, J.J., Cheung, C., Wang, W.: Evolutionary computation methods for helicopter loads estimation. In: 2011 IEEE Congress on Evolutionary Computation (CEC), pp. 1589–1596. June 2011
3.
go back to reference Valdés, J.J.: Computational intelligence methods for helicopter loads estimation. In: The 2011 International Joint Conference on Neural Networks (IJCNN), pp. 1864–1871. July 2011 Valdés, J.J.: Computational intelligence methods for helicopter loads estimation. In: The 2011 International Joint Conference on Neural Networks (IJCNN), pp. 1864–1871. July 2011
4.
go back to reference Cheung, C., Rocha, B., Valdés, J.J., Kotwicz-Herniczek, M., Stefani, A.: Expanded fatigue damage and load time signal estimation for dynamic helicopter components using computational intelligence techniques. In: Proceedings of the American Helicopter Society 70th Annual Forum, Montreal, Canada, May 2014 Cheung, C., Rocha, B., Valdés, J.J., Kotwicz-Herniczek, M., Stefani, A.: Expanded fatigue damage and load time signal estimation for dynamic helicopter components using computational intelligence techniques. In: Proceedings of the American Helicopter Society 70th Annual Forum, Montreal, Canada, May 2014
5.
go back to reference Cheung, C., Rocha, B., Valdés, J.J., Stefani, A., Li, M.: An approach to fatigue damage estimation of helicopter rotating components using computational intelligence techniques. In: Proceedings of American Helicopter Society 69th Annual Forum, Phoenix, Arizona, May 2013 Cheung, C., Rocha, B., Valdés, J.J., Stefani, A., Li, M.: An approach to fatigue damage estimation of helicopter rotating components using computational intelligence techniques. In: Proceedings of American Helicopter Society 69th Annual Forum, Phoenix, Arizona, May 2013
6.
go back to reference Georgia Tech Research Institute: Joint USAF-ADF S-70A-9 flight test program, summary report. Technical Report A-6186, Georgia Tech Research Institute, 2001 Georgia Tech Research Institute: Joint USAF-ADF S-70A-9 flight test program, summary report. Technical Report A-6186, Georgia Tech Research Institute, 2001
7.
go back to reference Cheung, C., Valdés, J.J., Li, M.: Exploration of flight state and control system parameters for prediction of helicopter loads via gamma test and machine learning techniques. In: Abou-Nasr, M., Lessmann, S., Stahlbock, R., Weiss, G.M. (eds.) Real World Data Mining Applications. Annals of Information Systems, vol. 17, pp. 359–385. Springer, Switzerland (2015) Cheung, C., Valdés, J.J., Li, M.: Exploration of flight state and control system parameters for prediction of helicopter loads via gamma test and machine learning techniques. In: Abou-Nasr, M., Lessmann, S., Stahlbock, R., Weiss, G.M. (eds.) Real World Data Mining Applications. Annals of Information Systems, vol. 17, pp. 359–385. Springer, Switzerland (2015)
8.
go back to reference Jones, A., Evans, D., Margetts, S., Durrant, P.: The gamma test. In: Sarker, R., Abbass, A., Newton, C. (eds) Heuristic Optimization for Knowledge Discovery, pp. 142–168. Idea Group, Hershey, PA (2002) Jones, A., Evans, D., Margetts, S., Durrant, P.: The gamma test. In: Sarker, R., Abbass, A., Newton, C. (eds) Heuristic Optimization for Knowledge Discovery, pp. 142–168. Idea Group, Hershey, PA (2002)
9.
go back to reference Stefánsson, A., Konc̆ar, N., Jones, A.: A note on the gamma test. Neural Comput. Appl. 5, 131–133 (1997) Stefánsson, A., Konc̆ar, N., Jones, A.: A note on the gamma test. Neural Comput. Appl. 5, 131–133 (1997)
11.
go back to reference Anderberg, M.: Cluster Analysis for Applications. Wiley, London (1973)MATH Anderberg, M.: Cluster Analysis for Applications. Wiley, London (1973)MATH
12.
go back to reference Valdés, J.J., Cheung, C., Li, M.: Towards conservative helicopter loads prediction using computational intelligence techniques. In: The 2012 International Joint Conference on Neural Networks (IJCNN), pp. 1–8. June 2012 Valdés, J.J., Cheung, C., Li, M.: Towards conservative helicopter loads prediction using computational intelligence techniques. In: The 2012 International Joint Conference on Neural Networks (IJCNN), pp. 1–8. June 2012
13.
go back to reference Cheung, C., Valdés, J.J., Li, M.: Use of evolutionary computation techniques for exploration and prediction of helicopter loads. In: 2012 IEEE Congress on Evolutionary Computation (CEC), pp. 1–8. June 2012 Cheung, C., Valdés, J.J., Li, M.: Use of evolutionary computation techniques for exploration and prediction of helicopter loads. In: 2012 IEEE Congress on Evolutionary Computation (CEC), pp. 1–8. June 2012
15.
go back to reference Storn, R., Price, K.: Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces. Technical Report, TR-09012, ICSI, 1995 Storn, R., Price, K.: Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces. Technical Report, TR-09012, ICSI, 1995
16.
go back to reference Price, K.V., Storn, R.M., Lampinen, J.A.: Differential Evolution. A Practical Approach to Global Optimization. Natural Computing Series. Springer, Heidelberg (2005) Price, K.V., Storn, R.M., Lampinen, J.A.: Differential Evolution. A Practical Approach to Global Optimization. Natural Computing Series. Springer, Heidelberg (2005)
17.
go back to reference Kukkonen, S., Lampinen, J.: An empirical study of control parameters for generalized differential evolution. Technical Report 2005014, Kanpur Genetic Algorithms Laboratory (KanGAL), 2005 Kukkonen, S., Lampinen, J.: An empirical study of control parameters for generalized differential evolution. Technical Report 2005014, Kanpur Genetic Algorithms Laboratory (KanGAL), 2005
18.
go back to reference G\(\ddot{{\rm a}}\)mperle, R., Müller, S., Koumoutsakos, P.: A parameter study for differential evolution. In: Grmela A., Mastorakis, N.E. (eds.) Advances in Intelligent Systems, Fuzzy Systems, Evolutionary Computation, pp. 293–298. WSEAS Press (2002) G\(\ddot{{\rm a}}\)mperle, R., Müller, S., Koumoutsakos, P.: A parameter study for differential evolution. In: Grmela A., Mastorakis, N.E. (eds.) Advances in Intelligent Systems, Fuzzy Systems, Evolutionary Computation, pp. 293–298. WSEAS Press (2002)
19.
go back to reference Pres, W., Flannery, B., Teukolsky, S., Vetterling, W.: Numeric Recipes in C. Cambridge University Press, New York (1992) Pres, W., Flannery, B., Teukolsky, S., Vetterling, W.: Numeric Recipes in C. Cambridge University Press, New York (1992)
20.
go back to reference Moller, M.F.: A scaled conjugate gradient algorithm for fast supervised learning. Neural Netw. 6, 525–533 (1993)CrossRef Moller, M.F.: A scaled conjugate gradient algorithm for fast supervised learning. Neural Netw. 6, 525–533 (1993)CrossRef
21.
go back to reference King, C., Lombardo, D.: Black Hawk helicopter component fatigue lives: sensitivity to changes in usag. Technical Report DSTO-TR-0912, Defence Science and Technology Organisation, 1999 King, C., Lombardo, D.: Black Hawk helicopter component fatigue lives: sensitivity to changes in usag. Technical Report DSTO-TR-0912, Defence Science and Technology Organisation, 1999
22.
go back to reference Broek, D.: The Practical Use of Fracture Mechanics. Kluwer, Dordrecht (1989)CrossRef Broek, D.: The Practical Use of Fracture Mechanics. Kluwer, Dordrecht (1989)CrossRef
Metadata
Title
Improving Load Signal and Fatigue Life Estimation for Helicopter Components Using Computational Intelligence Techniques
Authors
Catherine Cheung
Julio J. Valdés
Jobin Puthuparampil
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-26450-9_22

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