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

Abstract

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.

Load Identification for the More Electric Aircraft Distribution System Based on Intelligent Algorithm

“…The emergency state touches the deadline of airworthiness configuration, and the TRU needs to work at full load to ensure the normal power supply of the DC bus. In order to fully reflect various possible load states of the bus, Table 1 lists all possible working combination classifications of electrical equipment on RPDU1 [27,28].…”