Predicting Key Reliability Response with Limited Response Data

References

• André , N. , Cho , H. W. , Baek , S. H. , Jeong , M. K. , Young , T. M. ( 2008 ). Enhanced prediction of internal bond strength in a medium density fiberboard process using multivariate methods and variable selection . Wood Science and Technology , 42 : 521 – 534 .
   Web of Science ®Google Scholar
• Bernardy , G. , Scherff , B. ( 1998a ). Process Modeling Provides On-line Quality Control and Process Optimization in Particle and Fiberboard Production Viersen , Germany : ATR Industrie-Elektronik GmbH & Co .
   Google Scholar
• Bernardy , G. , Scherff , B. ( 1998b ). Saving costs with process control, engineering and statistical process optimization. Paper read at the 2nd European Panel Products Symposium (EPPS), Llandudno, Wales, October 21–22 .
   Google Scholar
• Clapp , N. E. , Jr., Young , T. M. , Guess , F. M. ( 2008 ). Predictive modeling the internal bond of medium density fiberboard using a modified principal component analysis . Forest Product Journal , 58 ( 4 ): 49 – 55 .
   Web of Science ®Google Scholar
• Deming , W. E. ( 1986 ). Out of the Crisis Cambridge : Massachusetts Institute of Technology, Center for Advanced Engineering Study .
   Google Scholar
• Deming , W. E. ( 1993 ). The New Economics Cambridge : Massachusetts Institute of Technology, Center for Advanced Engineering Study .
   Google Scholar
• Finkelstein , M. S. ( 2001 ). How does our n-component system perform? IEEE Transactions on Reliability , 50 ( 4 ): 414 – 418 .
   Web of Science ®Google Scholar
• Greubel , D. ( 2010 ). Practical experiences with a process simulation model in particleboard and MDF production. Paper read at the 2nd European Wood-Based Panel Symposium, Hanover, Germany, October 13–15 .
   Google Scholar
• Haddad , R. A. , Parsens , T. W. ( 1991 ). Digital Signal Processing Theory, Applications, and Hardware New York : Computer Science Press .
   Google Scholar
• Invensys Inc . ( 2014 ). Historian. Retrieved from: http://global.wonderware.com/EN/Pages/WonderwareHistorian.aspx.
   Google Scholar
• Maio , F. D. , Secchi P. , Vantini , S. , Zio , E. ( 2011 ). Fuzzy C-means clustering of signal functional principal components for post-processing dynamic scenarios of a nuclear power plant digital instrumentation and control system. IEEE Transactions on Reliability , 60 ( 2 ): 415 – 425 .
   Web of Science ®Google Scholar
• Newman , A. J. ( 1996 ). Model reduction via the Karhunen-Loeve expansion part II: Some elementary examples . T.R. 96–33 . College Park , MD : University of Maryland .
   Google Scholar
• Palacios , A. G. , Gemunu , H. , Gorman , M. , Robbins , K. A. ( 1998 ). Karhunen-Loeve analysis of spatiotemporal flame patterns . Physical Review E , 57 ( 5 ): 1 – 14 .
   Web of Science ®Google Scholar
• Peng , H. , Coit , D. , Feng , Q. ( 2012 ). Component reliability criticality or importance measures for systems with degrading components . IEEE Transactions on Reliability , 61 ( 1 ): 4 – 12 .
   Web of Science ®Google Scholar
• Ramsay , J. O. , Silverman , B. W. ( 1997 ). Functional Data Analysis Berlin Heidelberg : Springer-Verlag .
   Google Scholar
• Rencher , A. C. ( 1995 ). Methods of Multivariate Analysis New York : John Wiley & Sons .
   Google Scholar
• Stone , E. , Cutler , A. ( 1996 ). Introduction to archetypal analysis of spatio-temporal dynamic . Physica D , 96 : 110 – 131 .
   Web of Science ®Google Scholar
• Uenohara , M. , Kanade , T. ( 1997 ). Use of Fourier and Karhunen-Loeve decomposition for fast pattern matching with a large set of templates . IEEE Transactions on Pattern Analysis and Machine Intelligence , 19 ( 8 ): 891 – 897 .
   Web of Science ®Google Scholar
• Yan , L. ( 2006 ). A PCA-based PCM data analyzing method for diagnosing process failures . IEEE Transactions on Semiconductor Manufacturing , 19 ( 4 ): 404 – 410 .
   Web of Science ®Google Scholar
• Young , T. M. , André , N. , Huber , C. W. ( 2004 ). Predictive modeling of the internal bond of MDF using genetic algorithms with distributed data fusion. Paper read at the 8th European Panel Products Symposium, Llandudno, Wales, October 6–8 .
   Google Scholar
• Young , T. M. , Guess , F. M. ( 1994 ). Reliability processes and structures . Microelectronics and Reliability , 34 : 1107 – 1119 .
   Web of Science ®Google Scholar
• Young , T. M. , Guess , F. M. ( 2002 ). Developing and mining higher quality information in automated relational databases for forest products manufacture . International Journal of Reliability and Application , 3 ( 4 ): 155 – 164 .
   Google Scholar
• Young , T. M. , Winistorfer , P. M. ( 1999 ). Statistical process control and the forest products industry . Forest Products Journal , 49 ( 3 ): 10 – 17 .
   Google Scholar
• Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/lqen.
   Google Scholar