Fuzzy multi-attribute evaluation-based satellite power supply health degree calculation method

Abstract

The invention discloses a fuzzy multi-attribute evaluation-based satellite power supply health degree calculation method. The method realizes the health state evaluation after the failure occurrence of a satellite power supply. According to the method, firstly, an evaluation index attribute set and a reasonable evaluation set are established based on the failure analysis result of a satellite power supply failure mode. Secondly, a fuzzy evaluation matrix is obtained through expert evaluation or other methods. Thirdly, based on the analytic hierarchy process, the initial weight of each evaluation index in the same level is determined. Meanwhile, qualitative attributes are quantified, and then a final comprehensive evaluation result is obtained. In the aspect of health management, results can be divided into 5 levels of health, good, attention, deterioration and disease. In this way, the health degree of an evaluated object can be characterized in the above 5 levels. By adopting the method, the health degree of a satellite power supply during the running process can be calculated in real time. Therefore, the on-orbit safety of the satellite power supply can be improved. Meanwhile, adecision is provided to assist the ground transportation personnel to realize the on-orbit operation management of satellites.

Description

technical field [0001] The invention relates to a satellite power supply health calculation method based on fuzzy multi-attribute evaluation, which introduces the concept of health management into the fields of satellite on-orbit operation management and reliable safety performance evaluation. Background technique [0002] The fault diagnosis and health management of the satellite power system is a process from shallow to deep, from simple to difficult. The former is to complete the identification after the internal components of the equipment are damaged, and the latter is to complete the prediction before the internal components of the equipment are damaged. In terms of application value and difficulty, health management is higher than fault diagnosis. At present, there are many studies on fault diagnosis of satellite power supply, but less research on satellite power supply health management. The early intervention of health management prediction and effective preventive ...

AI Technical Summary

Problems solved by technology

[0004] At present, there are few researches on the health management of satellite power supplies. The main reason is that its health status is often uncertain, that is, it has the characteristics of "this and that". At this time, traditional accurate evaluation methods cannot be applied.

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