Work

Multivariate Tests for Comparing Lifetimes of Parallel Systems

Year: 2025

Type: article

Abstract: ABSTRACT Life testing of engineering systems with dependent components requires robust multivariate methods. Parametric approaches depend on restrictive assumptions, limiting their use in complex or unknown lifetime distribution settings. This study evaluates nonparametric methods for comparing parallel system lifetimes under minimal sample requirements. Three distribution‐free tests are considered: the rank‐energy test, the Wilcoxon‐type rank‐sum precedence test and the Lepage test, the latter two applied to Minkowski distances from lifetime vectors. Results suggest that the Lepage test on Minkowski distances generally outperforms the other two, offering a robust method to compare multi‐component system lifetimes.

Source: Quality and Reliability Engineering International

DOI: 10.1002/qre.70131

Authors: Niladri Chakraborty, Ahmed Maged, Maxim Finkelstein

Institutions: University of the Free State, University of North Texas, American University of Sharjah, University of Strathclyde

Language: English

Topic: Reliability and Maintenance Optimization

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $4,550

OpenAlex ID: W4417291209

FWCI:

Cites: 47

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