Hao Lyu1, Zhihang Li1, Xuehang Qiao1, Bing Lu1, Hualong Xie1, and Michael Pecht2
1School of Mechanical Engineering and Automation, Northeastern University, Shenyang, PR China
2Center for Advanced Life Cycle Engineering, University of Maryland, College Park, Maryland, USA
For more information about this article and related research, please contact Prof. Michael Pecht.
Abstract:
Failure propagation exists widely in complex systems and has great influence on reliability evaluation of systems.
A system reliability model considering multiple failure propagation based on the dependent competing failure
process is developed in this paper. A multiple failure propagation is explored, namely, acceleration of degra
dation and intensification of shock. General linear paths with different degradation rates and shock damage are
used to describe the soft failure process of components. The mixed shock model and the Markov chain method
are used to establish the reliability model of the hard failure process. The discrete probability density function
method is used to calculate component failure time. The reliability model of the whole system is derived by
utilizing the total probability method. The model is verified by using a Li-ion battery pack as a numerical
example, and the corresponding analysis is conducted.
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