NDLI: A combined self-organizing map neural network with analysis graphical approach for mixed-weibull parameter estimation

Content Provider	IEEE Xplore Digital Library
Author	Pei-Hsi Lee Chau-Chen Torng
Copyright Year	2008
Description	Author affiliation: Grad. Sch. of Ind. Eng. & Manage., Nat. Yunlin Univ. of Sci. & Technol., Douliou, Taiwan (Pei-Hsi Lee; Chau-Chen Torng)
Abstract	The mixed-Weibull distribution is widely used to analyze the burn-in time. Kececioglu had presented its parameter estimation method with application of Weibull probability plot (WPP) such a graphic analysis method. However his method is not easy to estimate parameters when the data loses the failure mode information. A self-organizing map neural network (SOM) is used to cluster the classification of failure mode. We combined SOM with Kececioglu¿s method to estimate the parameters of mixed-Weibull distribution. Some simulation studies are given to present the accuracy of parameter estimation of our method under small sample size.
Starting Page	1370
Ending Page	1374
File Size	837133
Page Count	5
File Format	PDF
ISBN	9781424426294
DOI	10.1109/IEEM.2008.4738094
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood estimation Parameter estimation Data analysis Life testing Industrial engineering Weibull probability plot Graphics Technology management Engineering management Neural networks Mixed-weibull distribution Self-organizing map neural network Weibull distribution
Content Type	Text
Resource Type	Article

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