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    A design methodology for robust model-based fault diagnosis schemes and its application to an aircraft hydraulic power package
    (2022-07)
    Mardt, Felix
    ;
    Bischof, Phillip
    ;
    Thielecke, Frank
    In a system's design phase, where knowledge about the actual behavior of the system is shallow, the design of an efficient and robust system diagnostics is a complex task. In order to simplify this process, this paper presents a model-based methodology for the design of fault diagnosis schemes. The methodology analyzes the structure of available behavioral models of the system and proposes minimal sets of sensors to fulfill diagnostic requirements. In order to choose an optimal set of sensors, the method evaluates the sets in terms of costs and diagnostic robustness. The proposed fault detection, isolation and identification schemes rely on the robust evaluation of model-based residuals using Monte-Carlo methods and highest density regions to account for measurement and parameter uncertainty. To show the design capabilities, the presented method is applied to an aircraft hydraulic power package and the resulting schemes are tested on a real test rig.
    Publicationtype: Conference Paper
      19
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    Robust Model-Based Fault Detection Using Monte Carlo Methods and Highest Density Regions
    (2021-06)
    Mardt, Felix
    ;
    Thielecke, Frank
    One of the major problems of model-based fault detection is to account for model and measurement uncertainties in order to robustly detect occurring faults. This paper presents a method which utilizes Monte Carlo simulations to solve this problem for hybrid nonlinear models. By sampling the a-priori and statistically identified uncertainty distributions, corresponding residual values are obtained. The distributions of these residuals are analysed using highest density regions to obtain information about the probability of receiving the observed measurements given a fault-free model. In addition to the basic method, an extended method utilizing explicit fault models is presented. Both methods are implemented in form of an algorithm and, in order to provide a proof of concept, applied to the model of a cooling system for an unmanned aerial vehicle.
    Publicationtype: Conference Paper
      41
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    Teilautomatisierte Reduktionstechniken für die Integration eines nichtlinearen Brennstoffzellensystemmodells in einen Systemtechnischen Flugsimulator
    (2017-09)
    Mardt, Felix
    ;
    Doering, Robert
    ;
    Thielecke, Frank
    In dieser Veröffentlichung wird eine Methode zur teilautomatisierten Reduktion von komplexen, nichtlinearen Simulationsmodellen auf ein Systemmodell eines brennstoffzellenbasierten Notenergiesystems angewandt. Ein existierendes nicht echtzeitfähiges Modell wird durch Anwendung des „Trajectory-Piecewise-Linear- Approach“ zunächst entlang einer Trainingstrajektorie linearisiert und anschließend mittels „Balanced Truncation“ weiter reduziert. Die Kombination des so erzeugten Satzes von linearen Systemmodellen ermöglicht eine gute Approximation des Verhaltens des komplexen, nichtlinearen Modells. Die erreichte Echtzeitfähigkeit er- laubt die Integration des reduzierten Modells in einen systemtechnischen Flugsimulator.
    Publicationtype: Conference Presentation
      37