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Reliability analysis of uncertain random systems based on uncertain differential equation.

Authors :
Xu, Qinqin
Zhu, Yuanguo
Source :
Applied Mathematics & Computation. Aug2023, Vol. 450, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

• Present belief reliability problems of ecological systems under uncertain random environments where uncertainty is subjective indeterminacy and randomness is objective indeterminacy. • The concept of reliability index is defined as chance measure when there are degradation and shock processes. • The reliability index formulas of ecological systems are developed in specific cases. • Apply reliability assessment methods to Caohai nature reserve. Typical failure modes of degradation and shock processes have been applied which are named as soft failures and hard failures, respectively. This paper discusses the reliability of uncertain random systems where randomness is regarded as objective indeterminacy with enough sample data, and uncertainty is referred to epistemic indeterminacy with insufficient sample data. Considering that the combination of internal and external factors, the degradation process is modelled by an uncertain differential equation, and external shocks are driven by an uncertain random renewal process where state variables are uncertain random variables. Chance measure is applied to define the reliability index which is distinguished from traditional reliability assessment methods that utilize probability measure. Three types of reliability models possessed with independent failures are presented, where the general reliability index formulas are provided. The analysis results of Caohai Nature Reserve show that uncertain random modelling method provides an effective approach to system reliability assessment. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00963003
Volume :
450
Database :
Academic Search Index
Journal :
Applied Mathematics & Computation
Publication Type :
Academic Journal
Accession number :
163165133
Full Text :
https://doi.org/10.1016/j.amc.2023.128008