Part 1: Multivariate Analysis for Process Monitoring

This is part 1. Stay tuned for parts 2 and 3. Process industries use big data for not only predictive purposes but also to extract relationships for optimizing a process. Key to big data analysis are multivariate analysis techniques such as principle component analysis (PCA). This is uniquely suited for the analysis and interpretation of process data because it exploits the correlations amongst variables in the data sets. Learn about the applications of multivariate analysis and industrial success stories with MATLAB®. Additional Resources: - MATLAB for the Chemical and Petrochemical Industry: https://bit.ly/2Mxc91a - MATLAB and Simulink for Predictive Maintenance: https://bit.ly/3opdXqt - MATLAB for Machine Learning: https://bit.ly/2YlIQRY - A Benchmark Software for MSPC: https://bit.ly/2KR2GRZ -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2021 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.