NE 579 - Empirical Models for Monitoring and Diagnostics

3 Credit Hours

Development and application of advanced statistical and artificial intelligence based techniques for process and equipment monitoring and diagnostics. Linear, non-linear, parametric, and non-parametric techniques including ridge regression, principal component analysis, kernel regression. Data preprocessing, model optimization, and uncertainty analysis will be taught.

Undergraduates

Graduate Students

NE 579 - Empirical Models for Monitoring and Diagnostics