Weibull Data Analysis with Few or no Failures View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2008

AUTHORS

Ming-Wei Lu , Cheng Julius Wang

ABSTRACT

Laboratory testing is a critical step in the development of vehicle components or systems. It allows the design engineer to evaluate the design early in the reliability development phase. A good lab test will shorten the product development cycles and minimizes cost and part failures at the PG or field testing before the vehicle volume production. Appropriate testing is available to correlate test time in the lab (or lab test bogey) to the real world survival time (or field design life). The testing must be in some accelerated fashion or typically called accelerated testing. The failure mechanism(s) that the accelerated test will bring out is of great importance. No one test can surface all potential failure mechanisms of the part. Certain failure mechanisms dominate throughout the useful lifetime of the part, and some may never occur. To verify a new product design meeting a reliability target requirement, one can perform data analysis on the life testing data by using Weibull life distribution. However, in fitting a Weibull distribution to reliability data, one may have only few or no failures. This paper presents method to estimate the reliability and confidence limits that apply to few or no failures with an assumed Weibull slope value of β. More... »

PAGES

201-210

Book

TITLE

Recent Advances in Reliability and Quality in Design

ISBN

978-1-84800-112-1
978-1-84800-113-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-84800-113-8_8

DOI

http://dx.doi.org/10.1007/978-1-84800-113-8_8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032153020


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