Given the increasing scale and complexity of modern engineering systems, together with more stringent safety constraints and increasing pressures on design lifetimes and budgets, tool automation can offer significant benefits. Safety analysis tools can be a valuable aid in ensuring that system designs meet their safety goals, helping to identify potential flaws and weaknesses in early design iterations where corrective measures can more easily and more cheaply be carried out. The safety analysis features of HiP-HOPS (Hierarchically Performed Hazard Origin & Propagation Studies) make use of fast, deductive analysis techniques like FTA (Fault Tree Analysis) to automatically produce comprehensive information about the failure behaviour of a system. In addition, this analysis takes place on the actual architectural model of the system, although some additional annotation is required to detail the local failure data for the components in the system. This means that no separate error model is required and the failure data, once annotated, can be stored in normal component libraries and re-used in different models and contexts with at most minor modifications, resulting in important savings in time and effort. However, even though safety analysis tools like HiP-HOPS can help to ensure that safety is included as a driving factor in each iteration of the design, the iterations themselves remain a manual process, relying on the intuition and experience of the designers to evolve the system in a productive way. Design optimisation tools offer a way of accelerating this process by automatically investigating many more design possibilities than would be possible to evaluate manually; by adding some additional information to the system model to define the search space, modern evolutionary optimisation techniques like genetic algorithms can quickly and efficiently explore that search space to identify optimal solutions that feature improved trade-offs between conflicting objectives like cost and reliability. These solutions can then be investigated more closely by the designers and used as the basis for the next iteration of the system design. The recent optimisation extensions to HiP-HOPS present a unique capability: by combining fast safety analysis abilities with state-of-the-art optimisation technology, it becomes possible to evaluate and optimise system models with regard to multiple objectives like cost and reliability within the same tool, resulting in a more integrated process with better performance. Although the technology is still experimental and only preliminary results have been obtained, they suggest that this type of combined analysis & optimisation automation potentially offers great advantages to designers of modern safety-critical systems. We hope to conduct further research to refine and enhance these optimisation capabilities to allow them to be scaled up to larger, more complex systems and to ensure they produce useful results for real-world engineering systems such as those found in the marine and automotive transport industries.


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    Titel :

    Engineering failure analysis and design optimisation with HiP-HOPS


    Weitere Titelangaben:

    Technische Fehleranalyse und Entwurfsoptimierung mit HiP-HOPS


    Beteiligte:
    Papadopoulos, Yiannis (Autor:in) / Walker, Martin (Autor:in) / Parker, David (Autor:in) / Rüde, Erich (Autor:in) / Hamann, Rainer (Autor:in) / Uhlig, Andreas (Autor:in) / Grätz, Uwe (Autor:in) / Lien, Rune (Autor:in)


    Erscheinungsdatum :

    2011


    Format / Umfang :

    19 Seiten, 14 Bilder, 43 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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