NDLI: An optimal designed degradation experiment for reliability improvement

Content Provider	IEEE Xplore Digital Library
Author	Hong-Fwu Yu Chih-Hua Chiao
Copyright Year	1963
Abstract	In conducting a design-of-experiments, with degradation data, to improve the reliability of highly reliable products, one of the most important topics for manufacturers is to identify important factors that affect the product reliability. Several decision variables such as inspection frequency, sample size, and termination time at each run, do influence the precision of identifying the important factors and the experimental cost. This paper proposes a systematic approach to the identification problem with respect to fractional factorial degradation experiments. First, an intuitively appealing identification rule is proposed. Next, the optimum test plan is derived using the criterion of minimizing the total experimental cost. The inspection frequency, sample size, and termination time at each run, that are needed by this identification rule are computed by solving a nonlinear integer programming model with a minimum probability of correct selection. A simulation study investigates the efficiency of this method.
Sponsorship	IEEE Reliability Society
Starting Page	427
Ending Page	433
Page Count	7
File Size	550222
File Format	PDF
ISSN	00189529
Volume Number	51
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Degradation Inspection Cost function Time measurement Frequency estimation Life testing Manufacturing Life estimation Light emitting diodes Stress measurement
Content Type	Text
Resource Type	Article
Subject	Safety, Risk, Reliability and Quality Electrical and Electronic Engineering

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