Discover Chemometrics and Machine Learning methods applied to the process supervision
In-house sessions
Process Pulse® II or SIMCA-Online®
2 days
Researchers, scientists and engineers
Objectives
This training session on multivariate data analysis is intended for people wishing to:
- Learn the methods of Chemometrics and Machine Learning, applied to Process Monitoring (process supervision)
- Be able to set up the Chemometrics tools of MSPC (Multivariate Statistical Process Control) and BSPC (Batch Statistical Process Control)
- Learn how to use the studied data analysis software
During the training, the method principles are introduced by a geometric approach. Emphasis is placed on the practical use of the method and the interpretation of the results.
Application exercises are proposed for each method. The training can be held on various Chemometrics software: Process Pulse II® (Camo Analytics) or SIMCA-Online® (Umetrics Sartorius).
Need a specific training?
Our team study your request to offer you the most suitable and personalized training.
Program
Data analysis for MSPC applications (continuous processes)
- Objectives and different applications of MSPC
- Process understanding
- Process optimization
- Process monitoring and fault detection
- Theoretical principles and methodology
- Projection methods on latent variables
- Multivariate control charts
- Application on data set and software
Data analysis for BSPC applications (process batchs)
- Objectives and different applications of BSPC
- Specificities and challenges of BSPC data
- Theoretical principles and methodology
- Different methods used
- Advantages and disadvantages
- Application on data set and software
Our trainer team
They talk about us
«Ondalys, a bridge between academic research and industry»
Our expertise for the analysis of your data
With over 15 years of experience in data analysis applied to spectroscopic, analytical and sensory data, the experts in our teams support you at every stage of your projects.