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| Reliability Assessment of Missile Electromechanical Products Based on Competitive Failure |
| Received:October 11, 2023 Revised:November 27, 2023 |
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| DOI：10.7643/issn.1672-9242.2024.03.003 |
| KeyWord:competitive failure multivariate degradation Wiener process with stochastic effect Copula function electromechanical products reliability assessment |
| Author | Institution |
| TANG Jie |
Shanghai Spaceflight Precision Machinery Institute, Shanghai , China |
| ZHANG Yan |
School of Reliability and Systems Engineering, Beihang University, Beijing , China |
| WANG Zhelan |
Shanghai Spaceflight Precision Machinery Institute, Shanghai , China |
| CHEN Yang |
Shanghai Spaceflight Precision Machinery Institute, Shanghai , China |
| ZHAO Fan |
Shanghai Spaceflight Precision Machinery Institute, Shanghai , China |
| YAO Jun |
School of Reliability and Systems Engineering, Beihang University, Beijing , China |
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| Abstract: |
| The work aims to address the reliability assessment problem of missile electromechanical products under the degradation-traumatic competitive failure mode. The storage failure analysis of typical missile electromechanical products was carried out, and the effect of multivariate degradation failure and traumatic failure on the storage reliability of the motor was considered. Firstly, a nonlinear, stochastic, and sample-specific degradation failure process in electromechanical products was described by a nonlinear Wiener process with random effects. Secondly, the Weibull distribution was adopted to describe the pattern of traumatic failure process, taking into account the effect of degradation level on traumatic failure. Finally, the copula function was used to describe the interaction relationship between the degradation performance parameters and a multivariate degradation-traumatic competitive failure model for electromechanical products was established. A parameter estimation method based on two-step maximum likelihood estimation was given. Taking simulated missile motor degradation and sudden failure data as an example, the system reliability assessment based on the multivariate degradation-traumatic competitive failure model was implemented, and the estimated reliability value of this product after 5 years of storage was 0.465. The constructed dual-variable stochastic degradation and traumatic failure competitive failure model is effective, providing a theoretical basis for reliability verification, assessment and lifespan prediction of missile electromechanical products. |
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