Fault Diagnosis and Fault Tolerant Control

Faults and failures in dynamical systems; Cybersecurity and cyber attacks to Industrial Control Systems; Components and Services model; Availability and Reliability; FTA (Fault tree Analysis); FMEA (Failure Modes and Effects Analysis); Signal based methods for Diagnosis; Machine Learning approaches to Fault Diagnosis and Fault Tolerant Control; Model based methods for Diagnosis; Residuals computation and evaluation; Learning of fault model; Fault Tolerant Control (Model Matching, Virtual Sensor and Actuator, Adaptive Control)

Assignments 35%, final exam (written) 65%.

The grade for the assignments will be the average grade of all the assignments.

To pass the course, the final grade must be a 5.75 or higher. The grade for the exam is not allowed to be lower than a 5.0.