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Research Article
Apr 17, 2019

Dependent Competing Risks Modeling for Mechanical Systems Under Component and Performance Failure

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 5, Issue 2

Abstract

This paper establishes a competing failure analysis model for complex mechanical system under component failure and performance failure considering degradation. Traditionally, mechanical system is composed by a number of components. Meanwhile, mechanical system has the ability to accomplish its specific performance. Therefore, mechanism may fail because of two kinds of failure modes, the component failure due to degradation (such as component wear) and the performance failure (system couldn't complete performance). The two failure modes compete with each other because as soon as one mode occurs the system just fails. The component will degrade with time as system operates as well as the system performance. In this paper, Brownian motion (BM) with nonlinear drift is used to model the degradation of components based on which component failure is analyzed. The function of performance measurement is built by surrogate and performance failure is analyzed by it at different working circulation. Farlie–Gumbel–Morgenstern (FGM) copula is introduced to describe the dependence. The system reliability is analyzed by FGM copula as well as competing failure probability for each failure mode. Finally, a numerical example and an engineering case study are used to illustrate the proposed model. This article is available in the ASME Digital Collection at https://doi.org/10.1115/1.4041849.

Information & Authors

Information

Published In

Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 5Issue 2June 2019

History

Received: Sep 18, 2017
Revision received: Oct 22, 2018
Published online: Apr 17, 2019
Published in print: Jun 1, 2019

Authors

Affiliations

School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China e-mail: [email protected]
Yugang Zhang [email protected]
School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China e-mail: [email protected]
Bifeng Song [email protected]
School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China e-mail: [email protected]

Funding Information

the Fundamental Research Funds for the Central Universities: Grant No.3102015 BJ (II)JL01

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