... and Information in Engineering Conference, DETC2012-70480, Aug. 12–15 , Chicago, IL . [22] Abdi , H. , and Williams , L. J. , 2010 , “ Principal Component Analysis ,” Wiley Interdiscip. Rev. Comput. Stat. , 2 ( 4 ), pp. 433 – 459 . 10.1002/wics.101 [23] Li , G. , Wang , S. W...

... Bayesian based model validation method together with probabilistic principal component analysis (PPCA) to address these critical issues. The PPCA is employed to handle multivariate correlation and to reduce the dimension of the multivariate functional responses. The Bayesian interval hypothesis testing...

... 3.7%, due to the effects of manufacturing variability. 21 04 2010 12 10 2010 30 11 2010 30 11 2010 blades fast Fourier transforms principal component analysis Recent years have seen a growing interest by the research community and leading aircraft engine...

...-dependent metamodel is created using principal component analysis and kriging. The metamodel predicts the turbine speed response due to any engine torque profile and is used in deterministic and reliability-based optimizations to minimize clunk. Compared with commonly used production calibration, the clunk...