DocumentCode :
2311557
Title :
Two Methods for Estimating Product Lifetimes from only Warranty Claims Data
Author :
Suzuki, Kazuyuki ; Alam, M. ; Yoshikawa, Takuji ; Yamamoto, Wataru
Author_Institution :
Dept. of Syst. Eng., Univ. of Electro-Commun., Chofu
fYear :
2008
fDate :
14-17 July 2008
Firstpage :
111
Lastpage :
119
Abstract :
Knowledge about product lifetime derived from real usage (field) data is of great interest in reliability analysis. A preferred source of such knowledge is warranty data, which are generated and updated at no additional cost from customer claims during warranty coverage. However, warranty databases contain only failure-related data; non-failure data is not included. This makes analysis difficult. The present research proposes two alternative methods for estimating product lifetimes from warranty claims data only. Two alternative methods, maximum likelihood and semi-parametric, are described for estimating product life-times from warranty claims data only. They consider two lifetime variables: exponential failure, which corresponds to random failure mode, and Weibull failure, which corresponds to wear-out failure mode. They use only usage-at-failure data including exponential failure data. Simulation demonstrated their applicability.
Keywords :
maximum likelihood estimation; product life cycle management; reliability theory; Weibull failure; exponential failure; maximum likelihood methods; product life-time estimation; product lifetime estimation; reliability analysis; warranty claims data; warranty coverage; warranty databases; Life estimation; Lifetime estimation; Warranties; Reliability; censoring distribution; random failure; usage time distribution; wear-out failure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Secure System Integration and Reliability Improvement, 2008. SSIRI '08. Second International Conference on
Conference_Location :
Yokohama
Print_ISBN :
978-0-7695-3266-0
Electronic_ISBN :
978-0-7695-3266-0
Type :
conf
DOI :
10.1109/SSIRI.2008.59
Filename :
4579802
Link To Document :
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