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Method of Health State Assessment for Satellite Power System Based on Fuzzy Judgment and Variable Weight Layered Evaluation

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Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017 (EITRT 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 483))

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Abstract

In order to improve the reliability and safety of satellite power system, the concept of health management is introduced to the research of health state assessment about satellite power supply. Considering the complex characteristics of satellite power system, a health state assessment method based on fuzzy judgment and variable weight layered evaluation is proposed and applied to the assessment of satellite power system. First, the fuzzy comprehensive evaluation method is used to quantify the influence degree of fault modes on the system and obtain the objective corresponding health degree. The method also combines analytic hierarchy process (AHP) with variable weight synthesis to solve variable weights and calculate health degree of the system step by step, which conducts real-time health state assessment for satellite power system. And then, the calculation results are divided into healthy, good, attentive, deteriorative, and morbid 5 levels to characterize the health states of the evaluation object. Finally, the applicability and validity of the method are verified by the concrete calculation example.

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Acknowledgements

This work is supported by The National Key Research and Development Program of China (2016YFB1200504-C-02), the Fundamental Research Funds for the Central Universities of China (2016JBM062), and Satellite Power Supply Failure Feature Extraction and Health Degree Calculation Modeling Project (WY - YY/D022011324JY015).

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Correspondence to Pei Zhen Wang .

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Wang, P.Z., Wang, L., Qiu, R., Diao, L., Guo, Y. (2018). Method of Health State Assessment for Satellite Power System Based on Fuzzy Judgment and Variable Weight Layered Evaluation. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 483. Springer, Singapore. https://doi.org/10.1007/978-981-10-7989-4_46

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  • DOI: https://doi.org/10.1007/978-981-10-7989-4_46

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7988-7

  • Online ISBN: 978-981-10-7989-4

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