Statistical analysis methods for strength distributions in optical fibers

Stephen N. Kukureka, Darran R. Cairns

Research output: Contribution to journalConference articlepeer-review

10 Citations (Scopus)

Abstract

The strength of commercially available silica optical fibers is investigated. Various statistical methods for characterizing the distribution of fiber strength are compared and their validity is assessed by random sampling from a set of experimental data with results generated using a Monte Carlo computer routine. The variation of calculated Weibull parameters with sample size is analyzed. It is shown that for two-point bending tests, and for greater than 50 samples, the maximum likelihood method is the most appropriate for calculating Weibull parameters.

Original languageEnglish
Pages (from-to)17-27
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3848
Publication statusPublished - 1 Dec 1999
EventOptical Fiber Reliability and Testing - Boston, MA, USA
Duration: 19 Sep 199920 Sep 1999

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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