On the use of compound noise factor in parameter design experiments | Zendy

Hou X. Shirley | Zendy

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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)

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.

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