Modelling of Equipment Failure Rate Accounting for the Uncertainty

H.X. Tian; W.F. Wu; P. Wang; H.Z. Li

doi:10.21307/ijssis-2017-816

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Modelling of Equipment Failure Rate Accounting for the Uncertainty

International Journal on Smart Sensing and Intelligent Systems

Volume 8 (2015): Issue 3 (January 2015)

By: H.X. Tian, W.F. Wu, P. Wang and H.Z. Li

Open Access

|Sep 2015

Abstract

A fuzzy model for failure rate with the consideration of the effects of uncertain factors in distribution reliability evaluation is presented. The possibility and credibility distribution analyzed on the basis of sample datum are used for quantifying effects of the uncertainty done to failure rate. Mathematically, the failure rate can be obtained in the interval integration. Moreover, aiming to make the calculating quantity of system reliability evaluation simple and easy, the fuzzy clustering analysis of equipment is adopted. The technique proposed has been implemented in an example distribution system for illustration and the results obtained have been compared with those obtained with average model.

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Articles in this issue

DOI: https://doi.org/10.21307/ijssis-2017-816 | Journal eISSN: 1178-5608

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Language: English

Page range: 1484 - 1504

Submitted on: Apr 21, 2015

Accepted on: Jul 30, 2015

Published on: Sep 1, 2015

Published by: Macquarie University, Australia

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

fuzzy model,

failure rate,

uncertainty,

fuzzy clustering analysis

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2015 H.X. Tian, W.F. Wu, P. Wang, H.Z. Li, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 8 (2015): Issue 3 (January 2015)