RESEARCH PAPER
Reliability modeling based on multiple wiener degradation-shock competing failure process and dynamic failure threshold
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1
Xi'an University of technology, China
2
University of Science and Technology Beijing, China
Submission date: 2023-05-22
Final revision date: 2023-09-11
Acceptance date: 2023-10-17
Online publication date: 2023-11-01
Publication date: 2023-11-01
Corresponding author
Nan Feng
University of Science and Technology Beijing, China
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(4):174248
HIGHLIGHTS
- The random shock process with a dynamic failure threshold is designed to enhance the performance of the hard failure process.
- The degradation process based on the multiple wiener process with the random effect is constructed.
- The correlation between the multiple degradation processes is analyzed by the copula function and calculated by the Monte Carlo method.
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ABSTRACT
Given multiple degradation failure and shock failure processes within the complex system during operation, a reliability model that combines the degradation-shock competing failure process and dynamic failure threshold is modeled. The Wiener process with random effects is considered the degradation process model, which includes random effects to account for the heterogeneity among system units. Then, the extreme shock model with a dynamic failure threshold is used to depict the random shock. The copula function is carried out to illustrate the correlation between multiple degradation processes, the reliability model is constructed further. To verify the application of this model, a numerical case and a micro-electro-mechanical system comprising two micro-mechanical resonators are employed. The parameter sensitivity of the proposed model is analyzed. The study results show that the reliability model, which combines the Wiener process with random effects and the dynamic failure threshold, more accurately reflects the actual operational state of the complex system.
ACKNOWLEDGEMENTS
This work was supported by the National Science Foundation of China (No. U2034209, No. 62120106011), and the Doctoral
Dissertation Innovation Fund of Xi’an University of Technology(252072218).
CITATIONS (1):
1.
Reliability assessment models for competing failure processes with two types of correlative thresholds
Qingbiao Song, Jiayin Tang, Honglei Wei, Yong Li
Quality and Reliability Engineering International