Title:
System Reliability Assessment using Covariate Theory
System Reliability Assessment using Covariate Theory
Authors
Wallace, Jon Michael
Mavris, Dimitri N.
Schrage, Daniel P.
Mavris, Dimitri N.
Schrage, Daniel P.
Authors
Person
Advisors
Advisors
Associated Organizations
Organizational Unit
Organizational Unit
Organizational Unit
Series
Collections
Supplementary to
Permanent Link
Abstract
A method is demonstrated that utilizes covariate theory to generate a multi-response component failure distribution as a function of pertinent operational parameters. Where traditional covariate theory uses actual measured life data, a modified approach is used herein to utilize life values generated by computer simulation models. The result is a simulation-based component life distribution function in terms of time and covariate parameters for each failure response. A multivariate joint probability covariate model is proposed by combining the covariate marginal failure distributions with the Nataf transformation approach. Evaluation of the joint probability model produced significant improvement in joint probability predictions as compared to the independent series event approach. The proposed methods are executed for a nominal aircraft engine system to demonstrate the assessment of multi-response system reliability driven by a dual mode turbine blade component failure scenario as a function of operational parameters.
Sponsor
Date Issued
2004-01
Extent
512733 bytes
Resource Type
Text
Resource Subtype
Paper