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H2020: Aerospace and agrofood companies sought for DT-FOF-11-2020 as end-users to test smart sensors, actuators and data analytics for predictive maintenance

Country of Origin: France
Reference Number: RDFR20191205001
Publication Date: 6 January 2020

Summary

A French research team with expertise in decisional & cognitive systems is developing a proposal for the topic DT-FOF-11-2020.
The project aims at developing new smart sensors and actuators to enrich data from traditional sensors and perform fast computation of the system condition as well as data analytics.
To complete the consortium, aerospace and agrofood industrial end-users are sought to test and validate the developed tools. Research agreement is foreseen.

Description

Smart factories are characterised by processes involving interlinked work pieces and associated tools as well as logistics operations. These are generating large amounts of data, which can be used for analysis and prediction as well as to optimise the quality of manufacturing operations and manufactured products. 
A major challenge for manufacturing is the reliability of data, which is of major importance in the aerospace sector. The idea is to define a general modularized solution where specific tools will be in charge of properly tackling all the important concerns related to product quality.

The proposal aims at studying the implementation of new intelligent sensors and actuators which will:
1) Enrich the still useful information coming from traditional sensors
2) Make it possible to perform fast computation in the very edge of the production system

The smart sensors and embedded devices that will be integrated can not only sense and communicate information, but also make an initial processing locally. This means that incipient faults can be detected right at the point of action, leading further on to the diagnosis of known failure patterns at the machine level.

The objective is to advance the state-of-the-art by delivering an integrative approach in the wired and wireless infrastructure, by harmonizing among various technologies and the requirements of the industrial applications. Specific trade—offs to be addressed are: high data rate vs. low delay and energy, efficiency, reliable data transfer vs. low delay and guaranteed timing, robustness to interference vs. energy efficiency, secure communication vs. low delay.
Sensing solutions exist for different object types (equipment, products, environment, workers), however they are rarely combined in an integrated sensing solution. Using the (wireless) communication infrastructure to our advantage, the project aims at integrating the sensing of different object types (including equipment, products, the environment and workers), and the context-based information processing, with relatively low installation and maintenance costs.

Failures will be included in a knowledge base which will play a key role in the system ability to learn from experience and lead to failure prediction.
Several tools will be developed in the project for data acquisition and real-time validation, failure prediction, data storage…

Today, the consortium gathers some Spanish partners and two French academic partners and targets the topic “Quality control in smart manufacturing” (DT-FOF-11-2020) in the Horizon 2020 programme.

To complete its consortium, the French research team is looking for industrial partners (SMEs, MNEs..) from the aeronautic sector as end-users or integrators in the project. Partners sought will be in charge of specifying, testing and deploying the tools developed within the project.

As it already involves partners from France and Spain, the consortium does not look for partners from these countries.

Deadline for EOI: 10/01/2020
Deadline for the call: 05/02/2020

Advantages and Innovations

The novelty will be associated with the development of tools related to:
• Integration of intelligent monitoring and control into existing production lines.
• Real‐time data validation and integrity in production lines
• Intelligent diagnosis in production lines
• Intelligent prognosis and maintenance rescheduling in production lines
• Integrated approach for zero‐defect manufacturing scenario
• Rapid line qualification and reconfiguration

Classically PHM (Prognostics and Health Management) techniques focus on the analysis of a basic component considered as critical. The project's ambition, focusing on the design at a machine level, is to go further in the capacity to predict the behaviour of a system. This will go through three types of development in relation to the ability:
• to link information from different sensors in charge of performance measurement of a component (Temperature, electromagnetic emissions for example) to analyze the likely evolution of the performance of the component
• to combine information from several components (Electronic Control Unit - ECUs in parallel for example) at the same level in the product architectural breakdown to characterize potential effects of acceleration or compensation
• to feedback information at the machine level through analysis, combination and interpretation of time-dependent performance of elementary components, subsystems, and finally system according to the solicitation/load recorded or observed at each level of decomposition characteristics

Stage Of Development

Concept stage

Requested partner

Type of partners sought: Aerospace and agrofood companies with automated manufacturing processes willing to integrate and/or test the new sensors and actuators developed within the project . 

Role of partners sought: The tasks to be carried out will be oriented toward the specification, co-development and on-site validation of the tools to be designed and produced during the project.

Cooperation offer is closed for requests