National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Syllabus

Course Details

Subject {L-T-P / C} : EE6246 : Fault Detection and Diagnosis { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Prof. Pravat Kumar Ray

Syllabus

Introduction to Fault Detection and Diagnosis: 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. 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. 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. Design of Directional structured Residuals: Introduction – Directional Specifications: Directional specification with and without disturbances – Parity Equation Implementation – Linearly dependent column. 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.

Course Objectives

  • 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

Course Outcomes

1. Different approaches and issues on fault detection and diagnosis. <br />2. Mathematical representation of fault and disturbances. <br />3. Multiple fault isolation. <br />4. Applications of soft computing techniques in fault detection and diagnosis.

Essential Reading

  • 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

Supplementary Reading

  • 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