Reliability Evaluation Method of Aerospace Relays Based on Fusion of Simulation Data and Small Sample Test Data

Li, Qingshen; Lin, Yigang; Wang, Shanshan; Zhu, Xiangou

doi:10.1109/srse54209.2021.00036

2021 3rd International Conference on System Reliability and Safety Engineering (SRSE) 2021

DOI: 10.1109/srse54209.2021.00036

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Reliability Evaluation Method of Aerospace Relays Based on Fusion of Simulation Data and Small Sample Test Data

Qingshen Li

Yigang Lin

Shanshan Wang

et al.

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Storage Reliability Assessment Method for Aerospace Electromagnetic Relay Based on Belief Reliability Theory

Lin

Wang

et al. 2022

Applied Sciences

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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.

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Storage Reliability Assessment Method for Aerospace Electromagnetic Relay Based on Belief Reliability Theory

Lin

Wang

et al. 2022

Applied Sciences

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show abstract

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Reliability Evaluation Method of Aerospace Relays Based on Fusion of Simulation Data and Small Sample Test Data

Cited by 1 publication

References 18 publications

Storage Reliability Assessment Method for Aerospace Electromagnetic Relay Based on Belief Reliability Theory

Storage Reliability Assessment Method for Aerospace Electromagnetic Relay Based on Belief Reliability Theory

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