Dynamic reliability modeling for system analysis under complex load

Xiaoqiang Zhang, Huiying Gao, Hong-Zhong Huang, Yan-Feng Li and Jinhua Mi

Reliability Engineering and System Safety, 2018, vol. 180, issue C, 345-351

Abstract: The traditional stress-strength interference (SSI) model regards the strength and the stress as two continuous random variables, but in practical engineering, the strength may be a stochastic degradation process. Besides continuous working load, a mechanical system often suffers from shock loads as well. How to calculate the dynamical reliability under complex load is a challenge that needs to be resolved. This paper proposes a generalized dynamic reliability model for the calculation of system reliability under complex load. The proposed model is available for system reliability problems under deterministic strength degradation or stochastic strength degradation processes. Six sigma and Gauss-Legendre quadrature formula are adopted to calculate the system reliability. A case study under three different conditions is presented to illustrate the application of the proposed model. The accuracy of the proposed method is compared with MCS.

Keywords: Dynamic reliability modeling; Shock load; Nonhomogeneous poisson process; Gauss–Legendre quadrature formula (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832017303630
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:180:y:2018:i:c:p:345-351

DOI: 10.1016/j.ress.2018.07.025

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().