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Forum TERATEC 2018
Atelier 1 - Mercredi 20 juin de 09h00 à 12h30

MAINTENANCE PREDICTIVE & DIGITAL TWIN

Optimizing Change Impact Analysis with a Digital Thread across complex multi-physics designs and operations
Charles-Henry JURD, European IoT Technical Leader, IBM Internet of Things

In this session you will see how multi-physic simulations may be combined with IoT data for improved confidence, as well as how Digital Thread allows tasks such as change impact analysis to be performed in minutes.

A Digital Twin can comprise many different pieces. In the design space there are work items, requirements, designs, test cases, CAD models, multi-physics simulations, a bill of materials in a PLM tool. In the operations space you may have an IoT Platform receiving live data from sensors in the field, and that data may be fed back into engineering to provide higher fidelity data for the simulations or to confirm design decisions.

However, these pieces do not stand alone they have to be connected together for traceability, particularly when working in an industry that has to comply with standards such as DO178B/C in aerospace and ISO26262 in automotive both of which mandate traceability. Assessing the impact of a change to a requirement or the change of a part across the lifecycle, is a task that (without an effective Digital Thread) can take days or even weeks of manual effort.

Biography : Charles Jurd works as an IoT Solution Architect within the European-based IBM Watson IoT entity. His 15 years’ experience in Systems and Software Engineering projects across multiple industries allow him to efficiently grasp the hybrid nature of today’s IoT solutions: distributed in the cloud and in the things, while driven by software combined to other physical domains engineering. Charles holds an Engineering degree in Telecommunication & Signal Processing.

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