Fault detection and isolation for control systems

URL study guide

Description

Objectives

• Perform basic modeling techniques for additive and multiplicative faults in Linear Time Invariant (LTI) systems — time and frequency domain input-output representations
• Understand the basics of model-based fault detection and isolation in LTI systems — the role of residual generators and residual-based decision-making rules
• Design robust model-based residual generators for fault detection and isolation
• Understand the basics of data-based fault detection and isolation — the role of regressors, feature extraction, and classifiers
• Design robust data-based FDI schemes from historically labeled data
• Design hybrid model-and-data-based FDI scheme
• Understand usage of FDI for control systems

Method of Assessment