Model-based transition of IMA architecture into configuration data

Halle, Martin; Thielecke, Frank

doi:10.1109/dasc.2016.7777950

Cited by 18 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The toolchain consists of meta-models allowing the modeling of IMA avionics platform instances or dedicated configuration models. Model transformations allow transforming a platform model into a configuration model, which can be further processed into configuration files e.g., csv-formatted Interface Control Documents (ICDs) [25], [26]. For generating the platform and configuration model, EMF (ECORE) is used.…”

Section: Use Case 1: Generation Of Avionic Configurations and Simulat...mentioning

confidence: 99%

Why the Use of Domain-specific Modeling in Airworthy Software Requires New Methods and How these Might Look Like? (extended version)

Tietz

Frey

Waldvogel

et al. 2023

Preprint

View full text Add to dashboard Cite

The use of domain-specific modeling (DSM) in safety-critical avionics is rare, even though the ever-increasing complexity of avionics systems makes the use of DSM reasonable. DSM shows its advantage especially in capturing complex systems, data and relationships. The reason for the limited use in the (safety-critical) avionics area is mainly due to the high demands on the safety of software and systems. Everything that is to be used in flight operations and development must undergo a rigorous and complex certification process. Any data used in operations must be verified. A reduction of this effort can be achieved using qualified tools. A qualified tool can either replace or support certification activities. This article elaborates different use cases of how DSM could be used in relation to airworthy software. For those use cases, we review the effort of a certification and retrieve the major shortcomings and showstoppers of available frameworks, e.g. infeasible qualification of DSM runtimes and the unavailability of qualification artifacts. Finally, we elaborate possible ways of mitigation and show the concept and first results of a new DSM framework for airworthy applications, called DOMAINES. DOMAINES covers deterministic meta-modeling up to graph-based model transformations and verified visual editing. The concept of DOMAINES and a first functional prototype are presented that indicate that the shortcomings can be mitigated.

show abstract

Section: Use Case 1: Generation Of Avionic Configurations and Simulat...mentioning

confidence: 99%

Why the Use of Domain-specific Modeling in Airworthy Software Requires New Methods and How these Might Look Like? (extended version)

Tietz

Frey

Waldvogel

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Configuration includes the definition of resource budgets for applications on modules for required memory, processor time slices, i.e., schedules, allocation of logical ports to physical I/O ports, and packing of signals into messages on busses (Halle et al, 2021). Having a correct and detailed physical architecture model can drastically simplify the configuration process, since it enables a model-based transition of architecture data into configuration like it was proposed in (Halle et al, 2016). In the end, a detailed physical architecture model can be used to generate simulation models with a high level of detail and support V&V activities as it was proposed in (Abdo et al, 2022).…”

Section: Detailed Physical Architecturementioning

confidence: 99%

Seamless Transitions from Logical to Physical Avionics Architecture Models for Preliminary Aircraft Systems Design

Broehan,

Kuelper,

Thielecke

2023

INCOSE International Symp

Self Cite

View full text Add to dashboard Cite

The transition of federated aviation electronics (avionics) systems to Integrated Modular Avionics (IMA) concepts leads to a higher integration of functions, which reduces the amount of equipment and therefore system mass. However, these benefits are accompanied by a strong increase in system complexity and more interdependencies. Moreover, further digitalization and automation of aircraft functions lead to a higher impact of avionics in terms of equipment number and energy consumption. One challenge arises from the fact that the IMA platform design starts in parallel to the design of other aircraft on‐board systems, for which the platform shall provide resources like computing power. This leads to a high uncertainty during early design phases on the one hand and to a complex design process including many data and tool interfaces on the other hand. In order to meet these challenges, seamless model‐based design approaches are being broadly investigated. For this purpose, standardized and automated interfaces between different design steps, tools, and stakeholders are needed. In this work, a formalized avionics architecture design process is proposed to support a seamless model‐based tool chain from systems architecting to detailed system design. Methods to handle uncertainties, to provide standardized model interfaces, and to automate transitions between model abstraction levels are included. Overall, this reduces manual effort and the introduction of errors that would lead to high costs during system implementation.

show abstract

“…IMA is an electronic equipment with many modules, such as, general processor module, figure processor module, power module and common data network [38]. Therefore, IMA exists lots of components which will deteriorate during the service.…”

Section: Ima Degradation Modelmentioning

confidence: 99%

Enhanced Online Sequential Parallel Extreme Learning Machine and its Application in Remaining Useful Life Prediction of Integrated Modular Avionics

Gao

Zhang

et al. 2019

IEEE Access

View full text Add to dashboard Cite

Integrated modular avionics is one of the most advanced systems which has been widely applied in modern aircraft. The performance of integrated modular avionics deeply impacts flight mission. Remaining useful life prediction is the critical manner which can efficiently improve the safety and reliability of aircraft. Since integrated modular avionics is a real-time system, the prediction algorithm should have fast learning speed to satisfy the real-time requirement. In this paper, an enhanced online sequential method is proposed to predict the remaining useful life of integrated modular avionics. Firstly, this paper proposes an online sequential network which is based on the architecture of parallel layer network. Secondly, to enhance the learning capability, this paper adopts the extreme learning machine denosing autoencoder to determine the input weights of the network. Thirdly, an adaptive forgetting factor is added to further improve the performance of the proposed method. The effectiveness and the superiority of the proposed method are verified in comparison with three online sequential algorithms on the standard datasets. Finally, a degradation model is built to depict the deteriorated process of integrated modular avionics. The prediction results confirms that the proposed method can effectively address remaining useful life of integrated modular avionics.INDEX TERMS Integrated modular avionics, parallel layer network, remaining useful life, degradation model.

show abstract

Model-based transition of IMA architecture into configuration data

Cited by 18 publications

References 7 publications

Why the Use of Domain-specific Modeling in Airworthy Software Requires New Methods and How these Might Look Like? (extended version)

Why the Use of Domain-specific Modeling in Airworthy Software Requires New Methods and How these Might Look Like? (extended version)

Seamless Transitions from Logical to Physical Avionics Architecture Models for Preliminary Aircraft Systems Design

Enhanced Online Sequential Parallel Extreme Learning Machine and its Application in Remaining Useful Life Prediction of Integrated Modular Avionics

Contact Info

Product

Resources

About