Using weibull regression to estimate the load-life relationship for rolling bearings

John I. McCool

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Statistical techniques have recently been developed based on the method of maximum likelihood, for forming exact interval estimates of the parameters of a power function relation between a Weibull scale parameter and an independent variable known generically as “stress.”. This paper illustrates the application of these techniques to point and interval estimation of the load-life relationship in rolling bearings given the observed lives in identically censored endurance tests run at two or more loads. Interval estimates are also given for (a) the Weibull shape parameter (assumed invariant with load), (b) the tenth percentile life at the stresses at which the testing was done, and (c) the extrapolated tenth percentile life at other (lower) stresses. The paper includes a method for testing whether the power law model fits the observed data. Tables of the numerical values needed for implementing the various computations are given for a range of practical sample sizes.

Original languageEnglish (US)
Pages (from-to)91-101
Number of pages11
JournalASLE Transactions
Volume29
Issue number1
DOIs
StatePublished - Jan 1 1986

Fingerprint

Bearings (structural)
regression analysis
estimates
intervals
Testing
Maximum likelihood
endurance
Loads (forces)
Durability

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Mechanics of Materials
  • Mechanical Engineering
  • Surfaces and Interfaces
  • Surfaces, Coatings and Films

Cite this

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Using weibull regression to estimate the load-life relationship for rolling bearings. / McCool, John I.

In: ASLE Transactions, Vol. 29, No. 1, 01.01.1986, p. 91-101.

Research output: Contribution to journalArticle

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