reflexion - itea 3 · reflexion aims to augment high-tech products with a distributed and...

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Project leader Bas Huijbrechts, TNO-ESI, The Netherlands Email address project leader [email protected] Project website http://www.esi.nl/research/research-in- projects/reflexion.dot REFLEXION React to Effects Fast by Learning, Evaluation, and eXtracted InformatiON OBJECTIVES n Create framework tools to improve system diagnostics in R&D context n Develop scalable generic sensor data visualisation in high-tech industry n Integrate log-data analysis capabilities into model- based testing UNIQUE SELLING POINTS / BUSINESS VALUE n Focussed on early market entry n Integration in operational workflow EXPECTED RESULTS n Smart visualisation widgets for sensor data n Optimised test strategies based on usage n Automatic anomaly detection n Methodology for effective data utilisation PROJECT SUMMARY REFLEXION aims to augment high-tech products with a distributed and introspective layer of data sensing and data-analytics to during early product roll-out: n infer ‘missed’ or ‘misunderstood’ end-customer requirements; n detect issues that escaped product release testing; n detect product items that need attention for service and maintenance engineers. This knowledge is automatically propagated back into the product development lifecycle and the service & maintenance flow.

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Page 1: REFLEXION - ITEA 3 · REFLEXION aims to augment high-tech products with a distributed and introspective layer of data sensing and data-analytics to during early product roll-out:

Project leader Bas Huijbrechts, TNO-ESI, The Netherlands

Email address project leader [email protected]

Project website http://www.esi.nl/research/research-in-projects/reflexion.dot

REFLEXIONReact to Effects Fast by Learning, Evaluation, and eXtracted InformatiON

OBJECTIVES n Create framework tools to improve system

diagnostics in R&D context n Develop scalable generic sensor data visualisation

in high-tech industry n Integrate log-data analysis capabilities into model-

based testing

UNIQUE SELLING POINTS / BUSINESS VALUE n Focussed on early market entry n Integration in operational workflow

EXPECTED RESULTS n Smart visualisation widgets for sensor data n Optimised test strategies based on usage n Automatic anomaly detection n Methodology for effective data utilisation

PROJECT SUMMARYREFLEXION aims to augment high-tech products with a distributed and introspective layer of data sensing and

data-analytics to during early product roll-out: n infer ‘missed’ or ‘misunderstood’ end-customer requirements; n detect issues that escaped product release testing; n detect product items that need attention for service and maintenance engineers.

This knowledge is automatically propagated back into the product development lifecycle and the service & maintenance flow.

Page 2: REFLEXION - ITEA 3 · REFLEXION aims to augment high-tech products with a distributed and introspective layer of data sensing and data-analytics to during early product roll-out:

Project leader Bas Huijbrechts, TNO-ESI, The Netherlands

Email address project leader [email protected]

Project website http://www.esi.nl/research/research-in-projects/reflexion.dot

REFLEXIONReact to Effects Fast by Learning, Evaluation, and eXtracted InformatiON

PROJECT CONSORTIUM START DATE SEPTEMBER 2014 END DATE SEPTEMBER 2018

REFLEXION PROJECT PARTNERS n Large companies (4) n SMEs (3) n Research institutes (1)

WORK PACKAGES OVERVIEW

Belgium

The Netherlands

Page 3: REFLEXION - ITEA 3 · REFLEXION aims to augment high-tech products with a distributed and introspective layer of data sensing and data-analytics to during early product roll-out:

Project leader Bas Huijbrechts, TNO-ESI, The Netherlands

Email address project leader [email protected]

Project website http://www.esi.nl/research/research-in-projects/reflexion.dot

REFLEXIONReact to Effects Fast by Learning, Evaluation, and eXtracted InformatiON

DEMO 1 – IMPROVING DATA UNDERSTANDING BY SMART VISUALISATION

DEMO 2 – USAGE PROFILE DRIVEN MODEL BASED TESTING

DEMO 3 - ACCELERATING DATA ANALYSIS BY REASONING WITH CONTEXT INFORMATION