Storage Reliability Assessment Method for Aerospace Electromagnetic Relay Based on Belief Reliability Theory
Source abstract
Abstract
The aerospace electromagnetic relay (AEMR) is a key electronic component in aerospace and weaponry systems. It usually lacks sufficient test data to conduct an effective storage reliability assessment at its early development stage. Thus, this paper introduces the theory of belief reliability, a new theory in the field of reliability engineering. Under its theoretical framework, firstly, through the analysis of the storage degradation mechanism of AEMR, the performance degradation characterization parameters are selected to build a storage degradation model. Then, the failure criterion conditions of AEMR are analyzed, and the degradation characterization parameters are used as the ‘smaller the better’ performance parameters to build a margin equation. Then, the margin equation is combined with the storage degradation model, and the uncertainties of the model parameters are quantified to complete the belief reliability model of AEMR. Finally, a certain AEMR is used as the object for validation. In solving the belief reliability model, the manufacturing information of the product, the degradation simulation data, and the test data are fully utilized to solve the model parameters by utilizing the uncertainty maximum likelihood estimation (UMLE) method. The results show that the method can obtain more accurate assessment results with small test data samples, and the MAE is reduced, compared to only simulation data, by 29.3%. By analyzing the uncertainty of the model parameters, it is found that the main sensitive factor affecting the storage reliability of batch aerospace relays is the initial release time. It was also found that the accuracy of the calculations could be significantly improved by considering the uncertainty of the threshold values when calculating.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Reliability and Maintenance Optimization · Statistical Distribution Estimation and Applications · Probabilistic and Robust Engineering Design
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China
Funding
Wenzhou Municipal Science and Technology · Graduate Scientific Research Foundation of Wenzhou University
References (24)
Show source-provided references
1. Reliability systems engineering: A research review and prospect
2. Yang, G., Huang, X., Li, Y., and Ding, P. (2019). System reliability assessment with imprecise probabilities. Appl. Sci., 9.10.3390/app9245422 ↗
3. Keshtgar, A., Sauerbrunn, C., and Modarres, M. (2018). Structural reliability prediction using acoustic emission-based modeling of fatigue crack growth. Appl. Sci., 8.10.3390/app8081225 ↗
4. Method of analyzing degradation databased on the uncertainty theory
5. Liu, B.D. (2007). Uncertainty Theory, Springer. [2nd ed.].
6. Liu, B.D. (2010). Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty, Springer.
7. Measuring reliability under epistemic uncertainty: Review on non-probabilistic reliability metrics10.1016/j.cja.2016.04.004 ↗
8. Uncertainty theory as a basis for belief reliability
9. Belief reliability for uncertain random systems10.1109/TFUZZ.2018.2838560 ↗
10. Alpha-S-N curve: A novel S-N curve modeling method under small sample test data using uncertainty theory10.1016/j.ijfatigue.2020.105725 ↗
11. Reliability evaluation with limited and censored time-to-failure data based on uncertainty distributions10.1016/j.apm.2021.01.029 ↗
12. Creep-fatigue reliability modeling and analysis for automotive tubular radiators
13. Li, Y., Zhang, X.X., Sun, F.Q., Li, X.Y., and Han, J.C. (2022). Belief reliability modeling for the assembly of spaceborne SAR antenna deployable mechanism. J. B. Univ. Aeronaut. Astronaut.
14. Reliability modeling and analysis of gear based on belief reliability
15. Belief reliability modeling and analysis for transmission efficiency of harmonic gear
16. Kang, R., Liu, H.R., Zhang, Q.Y., and Yu, L. (2022). Function oriented belief reliability design and optimization of new torsion spring electrical connectors. J. B. Univ. Aeronaut. Astronaut.10.1007/978-981-16-0823-0_6 ↗
17. Accelerated storage degradation testing and failure mechanisms of aerospace electromagnetic relay10.17531/ein.2017.4.6 ↗
18. Discussion on performance degradation assessment of long-term storage equipment10.3901/JME.2020.16.262 ↗
19. Manufacturing process-based storage degradation modelling and reliability assessment10.1016/j.microrel.2018.06.085 ↗
20. Research on storage degradation mechanism of aerospace electromagnetic relay pick-up time
21. Kinetic model of contact resistance increment of electromagnetic relay in storage
22. Wang, Q.M. (2019). Storage Reliability Prediction of Aerospace Relay based on Stress Relaxation Simulation. [Master’s Thesis, Harbin Institute of Technology].
23. Li, Q., Lin, Y., Wang, S., and Zhu, X. (2021, January 26–28). Reliability evaluation method of aerospace relays based on fusion of simulation data and small sample test data. Proceedings of the 2021 3rd International Conference on System Reliability and Safety Engineering (SRSE), Harbin, China.10.1109/SRSE54209.2021.00036 ↗
24. Reliability is a science: A philosophical analysis of its validity10.1002/asmb.2426 ↗