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Item type:Publication, Access status: without files , Understanding unexpected failure scenarios from aircraft systems virtual test data(American Institute of Aeronautics and Astronautics (AIAA), 2026-09); Current goals for emission-free aviation require novel system concepts, such as fuel cell-driven propulsion. Yet, such concepts do not exist in current aircraft. With such low operational experience, the requirements for system design may not be fully understood. Consequently, there is a rising potential for “blind spots” in the design that emerge in integration testing or even later, leading to costly adaptations. These unexpected scenarios may be discovered early by intelligent exploration during virtual, simulation-based testing. However, there is still a gap between the physical-dynamic test data and the functional-logic requirements definition by engineers. Test results may contain many data measurements. For a human engineer, it is time-consuming and error-prone to process the amount of time series data, making it impractical in an industrial setting. To enable the engineering evaluation and derivation of missing requirements, a computer-aided abstraction step is needed. This work presents a framework to derive principal functional-logic scenarios from critical test data and to present them visually. Concretely, analysis agents extend the data with discrete system states, followed by feature-based clustering. Finally, single sequences are derived for each cluster. The results are visualized as functional-logic parallel lifeline charts. The approach is evaluated using a fuel cell-driven propulsion example.Publicationtype: Journal Article10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Early model-based functional integration testing for aircraft systems architectures demonstrated on a hydrogen-powered propulsion unit(2025-10-25); ; ; ; Developing complex, hydrogen-powered aircraft and their on-board systems is challenging due to a vast design space, limited knowledge, and high uncertainties. Hence, the risk of undetected errors introduced during conceptual design increases. To address this, a method for early model-based functional integration testing as an integrated part of systems architecting is proposed. It includes simulation-based testing of functional behavior under nominal and off-nominal conditions based on executable architecture models, enabling the discovery of design errors and the down-selection of large design spaces. The method is demonstrated on a fuel cell-powered propulsion unit of a novel hydrogen-powered concept aircraft, showing its value for complex, novel systems in off-design conditions.Publicationtype: Conference Paper82 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , A high-performance extension to enable a future IMA-like flight and loads control platform(IEEE, 2025-09); ; ; ; IMA-like platforms offer advantages in weight, maintenance, and flexibility. However, low computing capabilities due to long aircraft development cycles and complex certification pose challenges for innovative, but demanding system applications. In this work, we motivate high-performance computing extensions in the integrated platform architecture design to enable such applications from a system function perspective. In particular, we analyze the blocking points towards an IMA-like integrated flight and loads control platform for future aircraft with high aspect ratio wings, which promise significant efficiency improvements, but require demanding software applications for the protection of the more flexible wings. On the basis of involved applications, such as advanced load estimation, we first identify limiting factors in terms of memory and computation demand, as well as application characteristics. Concluding that these challenges will not be resolved with the next generation of IMAlike platforms, we discuss the aforementioned high-performance extension.Publicationtype: Conference Paper49 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Identification of critical test scenario groups for aircraft functions based on operational design domains(American Institute of Aeronautics and Astronautics (AIAA), 2025-01); ; The development of aircraft systems requires robust verification and validation processes to ensure safety, reliability, and functionality. The rapid advancements in system automation have introduced a level of complexity where traditional testing methods reach their limits. Such methods often encounter challenges in identifying critical test scenarios early in the development cycle, which can cause delays. This delay can lead to significant cost implications due to late error detection and subsequent redevelopments. The primary objective of this research is to develop a method that enhances the early identification of critical test scenarios, thereby improving the efficiency and effectiveness of the testing process by using the concept of operational design domains (ODD) as a framework. By employing a hierarchical ODD approach, this study creates smaller, priority test groups that can be continuously used and shared among stakeholders throughout the testing process. As a further step, a stochastic test exploration method is used to generate a variety of scenario-based test cases, including critical test cases. These test cases, written in TA-SCXML, are analyzed using ODD-based observers within a virtual integration environment. To identify test cases to be shared between stakeholders, a grouping concept is proposed. The groups contain critical test cases that verify the behavior as described by the ODD, as well as test cases that explore behavior outside of the ODD. The method is applied on a flight control use case involving a virtually integrated software prototype for investigating new flight automation concepts for an UAV. The proposed method successfully identifies critical scenario-based test cases, which are then grouped and provided to suppliers and other stakeholders.Publicationtype: Conference Paper22 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Agent-based discovery of unexpected falsification scenarios in aircraft systems virtual testing(2024-01); Innovative concepts for aircraft systems with the aim to satisfy current aviation emission goals include novel technologies, such as fuel cell systems. However, due to the lack of experience for such technologies in aviation the implicated requirements for the system design may not be fully understood or unknown. This creates a risk for unexpected “blind spots” in the system design that will at best be found in late testing stages. Virtual testing based on digital simulation models is one possible approach to conduct verification and validation much earlier during design phases, but additional methods are needed to find the unexpected scenarios. This work introduces a methodical framework that aims to discover such unexpected test scenarios by means of heterogeneous machine learning test agents. The agents are executed in parallel and exchange falsification scenario information to improve the search for unexpected scenarios that falsify a given system property. The concept is applied and evaluated on a virtual system example for a fuel-cell-driven electric propulsion engine.Publicationtype: Conference Paper33 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Stochastic Scenario Exploration with Constrained Parameters for Aircraft System Virtual Testing(2022-10); Publicationtype: Conference Paper39 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Approach to systematic test signal definition for operation scenarios of aircraft systems(2020); With rapidly increasing levels of automation, modern aircraft systems become increasingly complex. The designed solutions typically achieve multiple functions by using a highly integrated mix of hardware and software components. With regard to automation, particularly the number of software components increases. For verification and validation activities, such as testing, this intensifies the challenge to define all relevant scenarios to test a system's functionalities and particularly its robustness in the case of unusual, but realistic situations. Hidden failure cases might be missed. Additionally, it becomes infeasible to systematically define the test vectors to study a systems behavior thoroughly due to the immense test space. As a consequence, testing gets more work- and time-intensive. This paper presents a stepwise model-based method to define and refine the stimulating part of the test scenarios in a systematic and modular manner to approach this challenge. The aim is to work out diverse and relevant operational scenarios to validate system functions and to set up realistic test vectors for these scenarios. The paper further focuses on the aim to facilitate automation and re-usability of scenario and functional signal elements to enable continuous testing at different stages of the development process. Concepts of a developed prototype are outlined as well. Finally, the current state of the method is discussed and an overview of the way forward is given.Publicationtype: Conference Paper105