Application and analysis of methods for the evaluation of failure rate distribution parameters for avionics components. (June 2019)

• Record Type: Journal Article
• Authors: Ciani, Lorenzo; Guidi, Giulia
• Is Part Of: Measurement. Volume 139(2019)
• Page Start: 258
• Page End: 269
• Publication Date: 2019-06
• Subjects: Failure rate -- Failure distribution -- Exponential distribution -- Weibull distribution -- Estimation parameter methods -- Weibull analysis -- Best fit distribution; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2019.02.082
• Languages: English
• ISSNs: 0263-2241

Abstract

Highlights: The paper is focused on a critical review of methods for the evaluation of failure rate distribution parameters. Two test cases related to avionics components under accelerated test are presented. The probability plot of all the distributions and a rank of the best-fit distributions are discussed in detailed. Abstract: The paper provides an overview of the principal failure rate distributions and it is focused on the comparison between exponential and Weibull distributions: this study illustrates the advantages and disadvantages of the constant failure rate of the exponential distribution and the Weibull time-dependent behavior. The second part of the paper deals with the parameter estimation methods that used to determine the best-fitting distribution for a set of data collected during testing or field operations. The methods considered in that case are probability plotting, Least Square Estimation and Maximum Likelihood Estimation. Finally, two different types of field data such as failure times achieved with testing of electronic board for avionics components are analyzed by software to find which distribution fits better the data.