51 results found Selected 0 items No itemsClear selection Select / deselect all results (all pages, 51 total) Few-shot anomaly detection in satellite telemetry Anomaly detection in time series is an active area of research in which multiple classic and machine learning algorithms were proposed. However, satellite telemetry is a special case of time series characterized by high dimensionality, missing data, and – most importantly – limited information about known anomalies. The leading approach for time series anomaly detection (TSAD) in satellite telemetry is to establish a normality model based on available nominal telemetry periods and search for significant deviations from that model in the test data. Poland Discovery S 2022-12 KP Labs Sp. z o.o. 2023 - 2024 Few-shot anomaly detection in satellite telemetry Automotive FMCW radar technology for space applications FMCW radar technology in the automotive industry radar market covers 24 GHz and 77 GHz bands with modulated bandwidths of up to 4 GHz, allowing simultaneously ultra-precise determination of target range and its relative velocity. Fine angular resolution with 0.1 deg steps at distance of 300 m and beam-steering capability has been recently demonstrated. FMCW systems have also proved their efficiency for detection of fast-moving objects with small cross-section such as drones. Finland TDE T306-702EF VTT TECHNICAL RESEARCH CENTRE OF FINLAND LTD 2021 - 2024 Automotive FMCW radar technology for space applications Fast Reconfiguration Technologies for Recurrent Space Transportation Flight Currently extensive mission preparation / mission customisation ("missionisation") activities are required for each specific launch trajectory. This approach is costly and each launch can take place only within a narrow set of conditions (e.g. wind) risking postponement, increasing cost even further. Using a more aircraft like approach with guidance and control preparation according to flight envelope not per trajectory, while increasing operational availability and safety early in the development process is essential to achieve the benefits of recurrent space transportation flight. Spain TDE T405-701SA GMV AEROSPACE AND DEFENCE, SA 2021 - 2023 Fast Reconfiguration Technologies for Recurrent Space Transportation Flight Pre-Phase A System Study of a Commercial-Scale Space-Based Solar Power (SBSP) System for Terrestrial Needs This study investigates Direct Sun Reflecting solution, an innovative concept aiming at boosting energy producing while optimizing existing structures utilization and maximizing their returns. It addresses the pressing need for sustainable energy solutions that can pave the way towards a greener and more resilient future and aligns with Europe's commitment to achieving net-zero emissions by 2050. Our concept is based on the global concept of Space Based Solar Power infrastructure and aims at producing green energy in the fastest time to market and the most competitive cost. France Preparation 23-P-M- TEC-01 Arthur D Little 2023 - 2023 Pre-Phase A System Study of a Commercial-Scale Space-Based Solar Power (SBSP) System for Terrestrial Needs Pre-Phase A System Study of a Commercial-Scale Space-Based Solar Power (SBSP) System for Terrestrial Needs The growth of the human population, industrialization of developing countries and rising living standards for the population are continuously increasing global energy demand, that in the next 30 years is forecast to double. Italy Preparation 23-P-M- TEC-01 THALES ALENIA SPACE ITALIA SPA 2023 - 2023 Pre-Phase A System Study of a Commercial-Scale Space-Based Solar Power (SBSP) System for Terrestrial Needs Fault Tolerant Control of Clustered Rocket Engines A clustered rocket engine is made up of smaller, easier to manufacture thrusters that can be controlled individually instead of a single, more expensive combustion chamber: thrust vector control (TVC) can be achieved via differential throttling, reducing the need for heavy gimbals and actuators.The proposed activity targets the development of TVC methodologies that are able to effectively cope with independent throttling capability as well as handle failures in one of the cluster?s engines. Portugal TDE T405-702SA GMVIS SKYSOFT S.A. 2021 - 2023 Fault Tolerant Control of Clustered Rocket Engines Machine Learning-based on board autonomy, failure prognostics and detection A critical function on board all spacecraft is the Failure Detection, Isolation and Recovery (FDIR) subsystem, which is vital in ensuring the safety, autonomy and availability of the system. Modern satellites complexity is increasing, and these highly complex systems require bespoke FDIR solutions with complicated architectures and difficult testability. Germany GSTP GT1I-304ED Airbus Defence and Space GmbH 2021 - 2023 Machine Learning-based on board autonomy, failure prognostics and detection LIDAR Hazard Map Algorithms for Planetary Landing LIDAR for GNC developments in the past years, targeting rendez-vous applications, have proven to be a very successful product in the world market. This LIDAR can also be adapted for other scenarios and in particular for landing applications. There is quite a high demand for this type of product which is not available yet on the market. ; Germany GSTP GT13-402SA JENA-OPTRONIK GMBH 2021 - 2023 LIDAR Hazard Map Algorithms for Planetary Landing On-board control unit for ICE Cubes experiments ICE Cube Facility allows to deploy in space small IoDs/Experiments. The facility requires that the experiments shall follow a specific interface (Interface Requirement Document), both in terms of electrical and mechanical aspects. ; Poland GSTP GT17-201ED N7 Space 2020 - 2023 On-board control unit for ICE Cubes experiments Artificial Intelligence techniques for GNC design, implementation and verification The performance of currently available Guidance Navigation and Control (GNC) systems for space is limited by unmodelled effects or uncertain parameters (e.g. sensor/actuator performances and performance degradations). Artificial Intelligence (AI) techniques based on machine learning could be integrated in GNC systems in order to enable on-line learning of the properties of dynamics, environment, sensors and actuators that limit the available performances. 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