Beschreibung:
Fault Diagnosis of Dynamic Systems provides readers with a glimpse into the fundamental issues and techniques of fault diagnosis used by Automatic Control (FDI) and Artificial Intelligence (DX) research communities. The book reviews the standard techniques and approaches widely used in both communities. It also contains benchmark examples and case studies that demonstrate how the same problem can be solved using the presented approaches. The book also introduces advanced fault diagnosis approaches that are currently still being researched, including methods for non-linear, hybrid, discrete-event and software/business systems, as well as, an introduction to prognosis.
Presents fault diagnosis methods from FDI and DX research communities
Introduction and Fundamental Concepts.- Case Studies.- Part I: Standard Approaches.- Structural Analysis.- The FDI Approach.- The DX Approach.- Bridge: Integration of FDI and DX Approaches.- Data-Driven Fault Diagnosis.- Discrete-Event Systems Fault Diagnosis.- Part II: Advanced Approaches.- Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems.- Model-Based Diagnosis with Probabilistic Models.- Qualitative Modeling for Fault Diagnosis.- Model Based Fault Diagnosis of Hybrid Systems.- Model-Based Software Debugging.- Diagnosing Business Processes.- Prognosis.