NDLI: Two-dimensional reliability modeling from warranty data

Content Provider	IEEE Xplore Digital Library
Author	Guangbin Yang Zaghati, Z.
Copyright Year	2002
Description	Author affiliation: Ford Motor Co., Dearborn, MI, USA (Guangbin Yang)
Abstract	The failures of some systems depend on age and amount of accumulated usage. A common example of such systems is the automobile; the life of which is measured by both time in service and mileage. Warranty claims of the systems contain a large amount of information about reliability, such as failure times, usages and failure modes. Using warranty data to model reliability as a function of time and usage provides a more accurate and realistic estimator.This paper describes warranty data structure and censoring mechanism. A sequential regression method is proposed to model mileage accumulation from warranty claim data. The model and mileage failure data are used to evaluate the patterns of failure occurrences at different mileages. The paper then establishes the relationship between reliability and time in service and mileage. The unknown parameters are estimated by maximum likelihood method with time and mileage censoring. The reliability model is used to predict the number of warranty claims, and the number of failed vehicles which do not generate warranty claims due to mileage exceeding warranty limit. In the paper, an example is presented. The example shows that the predicted number of warranty claims has a good agreement with the actual number of claims.
Starting Page	272
Ending Page	278
File Size	539277
Page Count	7
File Format	PDF
ISBN	0780373480
ISSN	0149144X
DOI	10.1109/RAMS.2002.981654
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-01-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Warranties Automobiles Failure analysis Time measurement Predictive models Maximum likelihood estimation Virtual manufacturing Costs Customer satisfaction Vehicles
Content Type	Text
Resource Type	Article

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