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On the use of compound noise factor in parameter design experiments
Author(s) -
Hou X. Shirley
Publication year - 2002
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/asmb.475
Subject(s) - compounding , taguchi methods , noise (video) , computer science , noise control , design of experiments , statistics , mathematics , noise reduction , artificial intelligence , machine learning , materials science , composite material , image (mathematics)
Abstract In some applications the cross‐array format for parameter design experiments is too costly to conduct. Instead of using a single array for both control and noise factors, Taguchi proposed a compound noise technique to reduce the size of experiments. It works by selecting a few ‘extreme’ conditions in noise factors and ‘compounding’ them into a single factor. Its performance is investigated through theoretical analysis, simulations, and real experiments. Copyright © 2002 John Wiley & Sons, Ltd.