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11 results found
Verification and Validation of Autonomous Systems
Contrary to a traditional system, in which input A should provide expected results B, an adaptive and evolving system needs different acceptance criteria.
Besides this, the traditional process for doing the verification and validation is not sufficient anymore and needs rethinking. For example; it might no longer be possible to run-through all the possible test-scenarios before launch.
 
Germany

T708-608SW

Solenix Engineering GmbH
Deep Learning for Space
The activity foresee the assessment of several different deep learning architectures and deep learning algorithms. Initial use cases, for evaluation, will be selected from Operations and AIT data, supporting tasks such as spacecraft performance assessment, diagnostics and forecasting.
Germany

T708-609OS

Solenix Engineering GmbH
Blockchain ecosystem for an autonomous consensus mechanism of federated satellite networks – Space DAO

In applications such as space traffic and disaster response management, there are growing public and private capabilities. Multiple different stakeholders can detect and identify events (space collision predictions, natural disaster definitions). Augmentation of events definitions lead to confusion for local authorities, operators or any users of these information for costly decisions. This project, Space DAO, sets the base infrastructure to agree on consensus mechanisms to reduce confusion and augment trust in key decision making information.

Germany

EISI_I-2022-00372

parametry.ai
MoBaTe – Enabling Model-Based Testing and Automated Test Case Generation for Ground Segment Data Systems

The driver behind the MoBaTe activity was to propose ways to improve the current software development and validation lifecycle using MBSE techniques to shift some of the system validation activities to the early stages of development. The roadmap to achieve this included identifying strategies, required model properties, modelling tools and languages needed to move from a requirements-based approach to a model-based approach. All this considering existing and established workflows and tools currently used by ESA.

Germany

21-D-T-OPS-01

Etamax Space GmbH
Enabling Continuity: from Design to Operations

The D2OPS activity started with the goal of applying MBSE practices to enable digital continuity between design and operations. This study involves the following main activities:

Germany

20-D-T-TEC-04-a

VISIONSPACE TECHNOLOGIES...
MBSE enhanced by Semantic DataLake integration and Machine Learning

The Integrated MBSE Analytics Platform (IMAP) has been developed in the course of the OSIP [OSIP] MBSE campaign’s MBSE2DataLake project. It demonstrates how MBSE data can be downstreamed from early phases and integrated with Telemetry data or system operations data. Applying MachineLearning analytics and customized visualization on these sets of integrated data provides seamless analysis capabilities and data browsing experience for the user. The approach leads to linking the former separated domains of System Design and AIT/Operations.

Germany

20-D-T-TEC-04-h

ScopeSET
Space To Ground ICD Modeling And Generation

The MBSE and Space to Ground ICD activity started with the goal of applying MBSE practices to the preparation of the Space to Ground ICD (S2GICD). This study involves the following main steps:

Germany

20-D-T-TEC-04-e

VISIONSPACE TECHNOLOGIES...
End-to-End System Engineering Portal (ESEP)

Space system engineering is a complex activity, spanning multiple phases and involving different stakeholders using a variety of engineering approaches and tools. ESA has been investing in Model-Based System Engineering (MBSE) research for many years, developing different MBSE frameworks and Domain Specific Tools (DSTs). Recently, a broader need has been recognized to focus the MBSE efforts on semantic interoperability and associated model integration.

Germany

20-D-T-TEC-04-d

Spacecube GmbH
Application of MBSE to reverse-engineer OPS-SAT and improve OPS-SAT2

The main objective of the project is the reverse engineering of the OPS-SAT system, creating a model of the existing system design. The model aims to be built in a way that it is most useful for OPS-SAT engineers to understand and discuss the existing design and use this as a basis for further development of the OPS-SAT system.

Germany

20-D-S-OPS-01-b

OHB System AG
Harmonising MBSE standards into ECSS – Model-Based System Engineering – Study Scheme

ESA has traditionally specified space systems using a document-based approach, and is now in a transition process towards the digitalisation of systems engineering activities. At the same time, space industry companies have their own internal set of best practices and experience with Model-Based Systems Engineering (MBSE).

To solve this problem, ESA initiated this study led by CGI in partnership with OHB to identify a way to harmonise the different MBSE approaches from industry and compile the information into a concise book.

Germany

20-D-S-TEC-04-c

CGI Deutschland B.V.

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