Reliability analysis for electric power systems of more-electric aircraft based on the minimal path set

Yingchun, Zhao; Huidong, Wu; Cai, Jianguo; Shi, Xudong

doi:10.3233/jcm-193501

Cited by 2 publications

(1 citation statement)

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“…Cai et al [11] and Zhao et al [14] put forward algorithms to apply the minimal cut set method to AEPS reliability analysis. Similarly, Zhao et al [15] proposed applying the minimal path set method to the reliability assessment of AEPS. To overcome the limitation of traditional methods that the power supply reliability of each load point can only be computed one by one, Zhang et al [16] proposed a configuration graph model to calculate the power supply reliability of all load points simultaneously in this one model.…”

Section: Introductionmentioning

confidence: 99%

Reliability Uncertainty Analysis Method for Aircraft Electrical Power System Design Based on Variance Decomposition

Wang

Cai

et al. 2022

Applied Sciences

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As a safety critical system, affected by cognitive uncertainty and flight environment variability, aircraft electrical power system proves highly uncertain in its failure occurrence and consequences. However, there are few studies on how to reduce the uncertainty in the system design stage, which is of great significance for shortening the development cycle and ensuring flight safety during the operation phrase. For this reason, based on the variance decomposition theory, this paper proposes an importance measure index of the influence of component failure rate uncertainty on the uncertainty of power supply reliability (system reliability). Furthermore, an algorithm to calculate the measure index is proposed by combining with the minimum path set and Monte Carlo simulation method. Finally, the proposed method is applied to a typical series-parallel system and an aircraft electrical power system, and a criteria named as “quantity and degree optimization criteria” is drawn from the case study. Results demonstrate that the proposed method indeed realizes the measurement of the contribution degree of component failure rate uncertainty to system reliability uncertainty, and combined with the criteria, proper solutions can be quickly determined to reduce system reliability uncertainty, which can be a theoretical guidance for aircraft electrical power system reliability design.

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Section: Introductionmentioning

confidence: 99%