DEVELOPMENT OF PREDICTIVE TECHNIQUES
Discover the potential of optimal exploitation of available technical data to solve problems and develop predictive approaches
Many technical data are associated with certain properties of inputs, semi-finished or finished products as well as process or pilot configurations, used differently in R&D, production or quality.
The purpose of the "Exploiting measurement data" day is to take stock of the potential for optimal exploitation of measurement data, in particular physical and physico-chemical data, and to present the principles of extraction, processing and interpretation, in particular with a view to understanding the system of influencing factors and the development of predictive methods.
CONTENTS
- Challenges and potentials of optimal exploitation of available physical and physico-chemical measurement data (technical sheets, R&D measurements, process data, industrialization tests, quality controls, etc.)
- Principles of extraction of representative physical/physico-chemical parameters, examples and interpretation biases
- Use of statistical and big-data type processing for the search for correlations and discriminating parameters
- Principle of development of predictive methods, examples and added values
Issues addressed:
– What measurement data is useful and usable for my problem? What information allows me to ensure their reliability/representativeness?
– How can I make my measurement data predictive? What additional measurement data is needed?
– Define measurement data exploitation processes?
SPEAKERS
Vincent Billot-Ridet and Nicolas Mougin, co-founders of RHEONIS, CEO and Technical Director, will host this day. Mathieu Cura, co-founder of OPTIMISTIK, will shed light on Big-Data and Machine Learning issues for industrial data processing.
JUNE 18, 2019: 9 a.m. – 17:30 p.m.
Welcome at 8:30 a.m.
73, rue des Javaux, 38320 EYBENS
Pre-registration before April 30: 80€ HT per day
Registration after April 30 Within the limit of available seats : 150€ excl. VAT per day
Last Updated on April 10, 2019 by Vincent Billot