<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p></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.

Modelling of Equipment Failure Rate Accounting for the Uncertainty

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Modelling of Equipment Failure Rate Accounting for the Uncertainty"}

A fuzzy model for failure rate with the consideration of the effects of uncertain factors in distribution reliability evaluation is presented. The possibility...

Modelling of Equipment Failure Rate Accounting for the Uncertainty

Online veröffentlicht: 01. Sept. 2015

Seitenbereich: 1484 - 1504

Eingereicht: 21. Apr. 2015

Akzeptiert: 30. Juli 2015

DOI: https://doi.org/10.21307/ijssis-2017-816

Schlüsselwörter
fuzzy model, failure rate, uncertainty, fuzzy clustering analysis

© 2015 H.X. Tian et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Modelling of Equipment Failure Rate Accounting for the Uncertainty

Online veröffentlicht: 01. Sept. 2015

Seitenbereich: 1484 - 1504

Eingereicht: 21. Apr. 2015

Akzeptiert: 30. Juli 2015

DOI: https://doi.org/10.21307/ijssis-2017-816

Schlüsselwörterfuzzy model, failure rate, uncertainty, fuzzy clustering analysis

© 2015 H.X. Tian et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
fuzzy model, failure rate, uncertainty, fuzzy clustering analysis