Improving the quality of field data reliability analysis

Author

Wang, Wendai

Author_Institution

GE Corp. Res. & Dev., Niskayuna, NY, USA

fYear

2001

fDate

2001

Firstpage

285

Lastpage

289

Abstract

Reliability engineers often face the field data with a small number of failures and a large number of suspensions (random censors). Problems arise frequently in engineering practice regarding the quality of field data reliability analysis. The existing methods may result in poor fitting to sample data for the studied cases. Two approaches are proposed and studied in this paper with intention to improve the quality of reliability data analysis. They are simple to implement and appear to have good statistical and convergence properties. Numerical examples are provided to illustrate the proposed methods. Further studies also are discussed and needed

Keywords

Weibull distribution; convergence of numerical methods; data analysis; engineering; failure analysis; reliability; convergence properties; engineering practice; failure number; field data reliability analysis quality; statistical properties; Convergence; Data analysis; Data engineering; Failure analysis; Maximum likelihood estimation; Performance analysis; Probability; Reliability engineering; Suspensions; Weibull distribution;

fLanguage

English

Publisher

ieee

Conference_Titel

Reliability and Maintainability Symposium, 2001. Proceedings. Annual

Conference_Location

Philadelphia, PA

ISSN

0149-144X

Print_ISBN

0-7803-6615-8

Type

conf

DOI

10.1109/RAMS.2001.902481

Filename

902481