4.7 Article

Reliability analysis for devices subject to competing failure processes based on chance theory

Journal

APPLIED MATHEMATICAL MODELLING
Volume 75, Issue -, Pages 398-413

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2019.05.036

Keywords

Competing failure processes; Shock models; Uncertainty theory; Uncertain variable; Uncertain distribution

Funding

  1. National Natural Science of China [71601101, 71631001]
  2. Doctoral Scientific Research Foundation of Shanxi Datong University [2015-B-06]

Ask authors/readers for more resources

This paper studies the reliability for devices subject to independent competing failure processes of degradation and shocks in an uncertain random environment. The continuous degradation is governed by an uncertain process, and external shocks arrive according to an uncertain random renewal reward process, in which the inter-arrival times of shocks and the shock sizes are assumed to be random variables and uncertain variables, respectively. The device reliability is defined as the chance measure that the uncertain degradation signals do not exceed a soft failure threshold L, and the uncertain random shocks do not cause the device failure. The device reliability is obtained by employing chance theory under four different shock patterns. Finally, a case study on a gas insulated transmission line is carried out to show the implementation of the proposed model. (C) 2019 Elsevier Inc. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available