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Signal‐to‐noise ratio development for quality engineering
Author(s) -
Kapur Kailash C.,
Chen Guangming
Publication year - 1988
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.4680040208
Subject(s) - taguchi methods , signal to noise ratio (imaging) , noise (video) , quality (philosophy) , product (mathematics) , domain (mathematical analysis) , computer science , time domain , engineering , mathematical optimization , mathematics , artificial intelligence , telecommunications , mathematical analysis , philosophy , geometry , epistemology , machine learning , image (mathematics) , computer vision
Dr. Taguchi developed the concept of signal‐to‐noise (SN) ratio in quality engineering to evaluate the performance of a system. The objective is to develop systems which are robust against noise factors. The SN ratio indicates the degree of the predictable performance of a product or process in the presence of noise factors. Parameter design of the Taguchi method optimizes the SN ratio in the domain of control factors, so that performance could be made insensitive to the noise factors in order to improve product quality. If the domain of the control factors is a continuous space, the problem is a non‐linear programming problem. Usually, in practice, there are only a few available levels for the control factors. Thus, experimental design methods can be useful for such problems. The SN ratio for four cases of dynamic characteristic problems is developed in this paper. This paper also gives the method to compute SN ratios for both equispaced and non‐equispaced intervals for levels of signal factors. Two examples are presented to illustrate the method.