Deliverables | Avatar

This deliverable defines the two demonstrator definition (manufacturing plan, materials, resources) and the relevant tests for each, that is required to verify and validate the proposed sensing skin concept in this project. It will also include the specification of the experiments to be carried out in WP6. e.g. verification of the load monitoring capabilities in real time, verification of the in flight communication system and data collection unit.

D2.1

Report on IoT sensing skin design and solution

Reports on the design and development of the IoT sensing skin solution. The report will cover the development of multi-parameter sensing solution following the requirements set in WP1, possible energy harvesting solutions and data acquisition and communication functionality.

D2.2

Report on manufacturing solution for IoT sensing skin, experimental validation

Report on the design and manufacturing of the IoT sensing skin prototype to be tested during flight for experimental validation. The manufacturing solution will follow the requirements set in WP1 to find the most appropriate printing solution which is robust, rapid and reliable. The functionality of the smart skin will also be assessed for both embedding and surface mounting scenarios and reported.

D3.2

Edge Computing framework and Cloud Infrastructure specification for Predictive Maintenance using Smart Skin

Developing algorithms and protocols for edge computing framework will follow the cloud Infrastructure specification, which requires data cleaning, data transfer and data storage. This development stage includes strategies for dealing with large data sets (e.g. lightweight data cleaning algorithms), appropriate data link between aircraft and ground communication, advances cleaning, storage and processing algorithm which are key to digital twin predictive maintenance.

D4.1

Development of high-fidelity numerical simulators and optimum network configuration

Report on the development of high-fidelity numerical simulators compatible for running on high performance computing units, for analysing the mechanical response of the metallic and the composite demonstrators. The optimum network configuration will also be reported based on minimizing the error between the true and the predicted load profiles.

D4.2

Health monitoring technologies and load spectra prediction

Report on the developed Health monitoring technologies which includes both active and passive monitoring technologies (WP 4.3 and 4.4.). It also will report on the development of a method for load spectra prediction, which will be validated with a small scale wind tunnel experimental test.

D5.1

Probabilistic fault diagnosis tools for metallic and composite structure

This report will include the development of a probabilistic fault diagnosis tools for metallic and composite structures. It will include the development of a hybrid architecture for the fusion of numerical and experimental observations and the creation of surrogate models which are essential in developing surrogate models to feed in the diagnosis and service life estimations in WP5.

D5.2

Probabilistic RUL estimation for service life extension

This deliverable reports on the development of a tool that collects information regarding the experienced loads from WP4.5 to make prognosis estimations for the safe-life of the structure. A clustering algorithm will be developed to create fatigue spectra profiles that consider the characteristics of different missions. The deliverable will also repot on methods to increase the robustness of the ML tools and account for data imbalance.

D6.1

Digital Twin Dashboard

Report and prototype of the developed Digital Twin Dashboard for integrating the physical, virtual and communication modules and ensure compatibility. The dashboard will be developed to present the outcomes to end users through a visualization dashboard. It also will include how the information will be displayed to the end users to be actionable.

D6.2

Report on AVATAR’s DT-PdM platform including test cases, validation, and verification

Report on AVATAR’s DT-PdM platform functionality. This report will include the results of the two demonstrator test cases to validation, and verify the platform functionality. The two test cases will include in flight data over a statistically significant amount of flight hour.

D7.3

Data Management Plan 1

This deliverable reports on the data management plan, which will be developed by M6 of the project and it will be revised at the end of each reporting period as a deliverable. This will be the report at the end of the first period.

D7.4

Data Management Plan - 2

This deliverable reports on the data management plan which is revised during the second reporting period. During this period a lot more exploitable data would have been generated therefore the plan must also include what happens with the data at the end of the project.

D7.5

Dissemination and exploitation plans including communication activities

This report will include a more detailed plan for dissemination and exploitation including communication activities once the project has started. This plan will be periodically updated in alignment with the project’s progress at the end of the reporting periods. Therefore an updated version will be submitted on M18 and M36.

D7.6

Data Management Plan - Initial version

Initial data management defined at the early stages of the project and reviewed in months 18 and 36.

D7.7

1st update of dissemination and exploitation plans

D16 is to be updated in the mid of the project duration to better correspond to the current state.

D7.8

2nd update of dissemination and exploitation plans

The dissemination and exploitation plans must be updated at the end of the project, so that they reflected the current state, the gained experience and further plans of the consortium members.