Design for variation

Quality Engineering

Volumn 24, Issue 2, 2012, Pages 317-345

  Reinman, Grant ^a   Ayer, Timothy ^a   Davan, Thomas ^a   Devore, Matthew ^a   Finley, Steven ^a   Glanovsky, Jaime ^a   Gray, Lauren ^a   Hall, Benjamin ^a   Jones, Charles ^a   Learned, Amanda ^a   Mesaros, Erica ^a   Morris, Robert ^a   Pinero, Sandra ^a   Russo, Randel ^a   Stearns, Ethan ^a   Teicholz, Matthew ^a   Teslik Welz, Wendy ^a   Yudichak, David ^a  

^a PRATT AND WHITNEY   (United States)

Author keywords

Aerospace; Bayesian; Bayesian calibration; computer experiments; design; deterministic models; emulation; Gaussian process; Pratt Whitney; sensitivity analysis; uncertainty; variation

Indexed keywords

AEROSPACE; BAYESIAN; BAYESIAN CALIBRATION; COMPUTER EXPERIMENTS; DETERMINISTIC MODELS; EMULATION; GAUSSIAN PROCESSES; UNCERTAINTY; VARIATION; WHITNEY;

AIRFOILS; DESIGN; ENGINEERS; INFORMATION TECHNOLOGY; MODELS; SENSITIVITY ANALYSIS; TURBOMACHINE BLADES; UNCERTAINTY ANALYSIS;

STATISTICAL PROCESS CONTROL;

EID: 84859181831     PISSN: 08982112     EISSN: 15324222     Source Type: Journal    
DOI: 10.1080/08982112.2012.651973     Document Type: Article

References (20)

1. Department of Defense. (2002). Military Handbook MIL-HBDK-1783B: Engine Structural Integrity Program (EN-SIP). Available at: http://www.everyspec.com/ MIL-HDBK/MIL-HDBK+(1500+-+1799)/download.php?spec=MIL-HDBK-1783B.1924.pdf
2. Draper, D. (1995). Assessment and propagation of model uncertainty. Journal of the Royal Statistical Society, Series B, 57:45-97.
3. Draper, D. (1997). Model uncertainty in "stochastic" and "deterministic" systems. In: Minder, C., Friedl, H. Eds. Proceedings of the 12th International Workshop on Statistical Modeling, volume 5 of Schriftenreihe der Osterreichischen Statistichen Gesellschaft., 43-59. Vienna, Austria: Ö sterreichische Statistische Gesellschaft.
4. Fang, K., Li, R. A., Sudjianto, A. (2006). Design and Modeling for Computer Experiments. Boca Raton, FL: Chapman & Hay/CRC.
5. Federal Aviation Administration. (2010). Aeronautics and Space, Part 33 Airworthiness Standards. Aircraft Engines. Code of Federal Regulations, Title 14.
6. Geladi, P., Kowalski, B. R. (1986). Partial least squares regression: A tutorial. Analylica Chimica Acta, 185:1-17.
7. Gelman, A., Carlin, J. B., Stern, H. S., Rubin, D. B. (2003). Bayesian Data Analysis, 2nd ed. Boca Raton, FL: Chapman & Hall/CRC.
8. Hamilton Sundstrand Corporation. (2005). How the ACE operating system works. Available at: http://www.haskel-europe.com/corp/details/0,CLI1-DIV118- ETI10040,00.html (accessed 6 February 2012).
9. Higdon, D., Gattiker, J., Moore, L., McKay, M., Keller-McNulty, S. (2008). Computer model calibration using high-dimensional output. Journal of the American Statistical Association, 103:570-583.
10. Hoerl, R. W., Snee, R. D. (2010a). Statistical thinking and methods in quality improvement: A look towards the future. Quality Engineering, 22(3):119-129.
11. Hoerl, R. W., Snee, R. D. (2010b). Statistics roundtable: Closing the gap. Quality Progress, 43(5):52-53.
12. Hoskuldsson, A. (1988). PlS regression methods. Chemometrics, 2: 211-228.
13. Hutton, T. C. (2004). Ace vs. six sigma: Achieving competitive excellence versus six sigma. Master's thesis, Massachusetts Institute of Technology, Cambridge, MA. Available at: http://hdl.handle.net/1721.1/17898 (accessed 6 February 2012).
14. Jones, S. M. (2007). An introduction to thermodynamic performance analysis of aircraft gas turbine engine cycles using the numerical propulsion system simulation code. Technical report NASA-TM 007-214690. NASA Center for Aerospace Information, Hanover, MD.
15. Kennedy, M. C., O'Hagan, A. (2001). Bayesian calibration of computer models. Journal Royal Statistical Society B, 63:425-464.
16. Oakley, J. E., O'Hagan, A. (2004). Probabilistic sensitivity analysis of complex models: A Bayesian approach. Journal of the Royal Statistical Society B, 66:751-769.
17. Plummer, M. (2003). JAGS: A program for analysis of bayesian graphical models using Gibbs sampling. Paper read at the 3rd International Workshop on Distributed Statistical Computing (DSC 2003), 20-22 March, Vienna, Austria.
18. Sacks, J., Schiller, S. B., Welch, W. J. (1989). Designs for computer experiments. Technometrics, 31:41-47.
19. Santner, T. J., Williams, B. J., Notz, W. I. (2003). The Design and Analysis of Computer Experiments. New York: Springer-Verlag.
20. Williams, B., Higdon, D., Gattiker, J., Moore, L., McKay, M., Keller-McNulty, S. (2006). Combining experimental data and computer simulations, with an application to yer plate experiments. Bayesian Analysis, 1(4):765-792.