Syllabus

Module-I (8 hrs,)
Introduction to Fault Detection and Diagnosis (FDD): Scope of FDD:- Types of faults and different tasks of Fault Diagnosis and Implementation - Different approaches to FDD: Model free and Model based approaches. Classification of Fault and Disturbances- Different issues involved in FDD- Typical applications.

Module-II (8 hrs.)
Analytical Redundancy Concepts: Introduction- Mathematical representation of Fault and Disturbances: Additive and Multiplicative types – Residual Generation: Detection, Isolation, Computational and stability properties – Design of Residual generator – Residual specification and Implementation.

Module-III (8 hrs.)
Design of Structured Residuals: Introduction Residual structure of single fault Isolation: Structural and Canonical structures- Residual Structure of Multiple fault Isolation: Diagonal and Full Row canonical concepts – Introduction to parity equation implementation and alternative representation.

Module-IV (6 hrs.)
Design of Directional structured Residuals: Introduction – Directional Specifications: Directional specification with and without disturbances – Parity Equation Implementation – Linearly dependent column.

Module-V (6 hrs.)
Advanced level issues and design involved in FDD: Introduction of Residual generation of parametric fault – Robustness Issues –Statistical Testing of Residual generators – Application of Neural and Fuzzy logic schemes in FDD – Case study.

Gain knowledge on different approaches on fault diagnosis and their implementations

Represent fault and disturbances mathematically

Become acquainted with different advanced level issues on fault detection and diagnosis

At the end of the course student will be able to learn about
1. Different approaches and issues on fault detection and diagnosis.
2. Mathematical representation of fault and disturbances.
3. Multiple fault isolation.
4. Design of different structured residuals
5. Advanced level issues in fault detection and diagnosis
6. Applications of soft computing techniques in fault detection and diagnosis.

R. Isermann, Fault-Diagnosis Systems: An Introduction from Fault Detection to Fault Tolerance, Springer , 2005

Ron J. Patton, Paul M. Frank, Robert N. Clark, “Issues of Fault Diagnosis for Dynamic Systems”, Springer , 2000

Simani, Silvio, Fantuzzi, Cesare, Patton, Ron J., “Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques”, Springer , 2013

Jie Chen, R.J. Patton, “Robust Model-Based Fault Diagnosis for Dynamic Systems”, Springer , 1999