Abstract The reliability apportionment of spacecraft solar array is of significant importance for spacecraft designers in the early stage of design. However, it is difficult to use the existing methods to resolve reliability apportionment problem because of the data insufficiency and the uncertainty of the relations among the components in the mechanical system. This paper proposes a new method which combines the fuzzy comprehensive evaluation with fuzzy reasoning Petri net (FRPN) to accomplish the reliability apportionment of the solar array. The proposed method extends the previous fuzzy methods and focuses on the characteristics of the subsystems and the intrinsic associations among the components. The analysis results show that the synchronization mechanism may obtain the highest reliability value and the solar panels and hinges may get the lowest reliability before design and manufacturing. Our developed method is of practical significance for the reliability apportionment of solar array where the design information has not been clearly identified, particularly in early stage of design.

    Highlights ► A reliability apportionment approach of solar arrays is presented. ► Fuzzy reasoning Petri net and fuzzy comprehensive evaluation method are applied. ► Final truth degree is used to evaluate the key reliability indexes. ► Analysis results show that the solar panels and hinges get the lowest reliability.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Reliability apportionment approach for spacecraft solar array using fuzzy reasoning Petri net and fuzzy comprehensive evaluation


    Beteiligte:
    Wu, Jianing (Autor:in) / Yan, Shaoze (Autor:in) / Xie, Liyang (Autor:in) / Gao, Peng (Autor:in)

    Erschienen in:

    Acta Astronautica ; 76 ; 136-144


    Erscheinungsdatum :

    2012-02-26


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch