Abstract
In order to overcome the shortcomings of traditional power supply reliability evaluation model of multi-electric aircraft in the process of multi-component system research, this paper introduces the approximate probability distribution of multi-component system by cross-entropy, it proposes a Monte Carlo method based on information entropy to evaluate the power supply reliability of multi-electric aircraft, and obtains the approximate probability distribution by differential evolution to make the reliability evaluation. The estimated variance is approximately zero. Finally, taking an aircraft power supply system as an example, the convergence and accuracy of several reliability analysis methods are compared and analyzed. The results show the superiority of this method.
Highlights
Multi-power aircraft technology integrates the power generation, power distribution and power consumption of aircraft into a unified system, and implements unified planning, unified management and centralized control of power generation, distribution and power consumption systems
The traditional analysis method is to analyze the reliability of the aircraft power supply system by using the fault tree [3-6], and theoretically provide the aircraft reliability analysis results
Due to the large number of system components and low failure rate, if the traditional Monte Carlo method is used to evaluate the reliability of the entire multi-electric aircraft power supply system, a large number of samples are needed, which will greatly reduce the efficiency of the algorithm
Summary
Multi-power aircraft technology integrates the power generation, power distribution and power consumption of aircraft into a unified system, and implements unified planning, unified management and centralized control of power generation, distribution and power consumption systems. It is very important to establish an efficient reliability evaluation model for multi-electric aircraft power supply systems. Authors in [1-2] introduce the reliability analysis model of multi-electric aircraft power system, and explains the importance of calculating the reliability of multi-electric aircraft power supply from various aspects. With the increase in the number of components of the aircraft power supply system, the analysis of the fault tree method is more complicated, and it is difficult to evaluate the reliability of the entire power supply system. Due to the large number of system components and low failure rate, if the traditional Monte Carlo method is used to evaluate the reliability of the entire multi-electric aircraft power supply system, a large number of samples are needed, which will greatly reduce the efficiency of the algorithm. A case-by-case example is used to verify the superiority of the Monte Carlo method based on information entropy in the reliability evaluation of multi-electric aircraft power supply system
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