Bond Graph Model-based Fault Diagnosis of Hybrid Systems [Paperback]

This book presents bond graph model-based fault detection with a focus on hybrid system models. The book addresses model design, simulation, control and model-based fault diagnosis of multidisciplinary engineering systems. The text beings with a brief survey of the state-of-the-art, then focuses on hybrid systems. The author then uses different bond graph approaches throughout the text and provides case studies.Introduction.- Bond Graph Representations of Hybrid System Models.- Structural Control Properties of Switched LTI Systems.- Bond Graph Model-based Quantitative FDI in Hybrid Systems.- Parameter Uncertainties.- Isolation of Multiple Parametric Faults from a Hybrid Model.- ARR based System Mode Identification.- Applications.- Failure Prognosis for Hybrid Systems Based on ARR Residuals.- Overall Conclusion and Discussion.Dr. Borutzky is a Professor of Modelling, Simulation and Visualisation of Engineering Systems at Bonn-Rhein-Sieg University of Applied Sciences.

This book presents a bond graph model-based approach to fault diagnosis in mechatronic systems appropriately represented by a hybrid model. The book begins by giving a survey of the fundamentals of fault diagnosis and failure prognosis, then recalls state-of-art developments referring to latest publications, and goes on to discuss various bond graph representations of hybrid system models, equations formulation for switched systems, and simulation of their dynamic behavior.

The structured text:

focuses on bond graph model-based fault detection and isolation in hybrid systems;

addresses isolation of multiple parametric faults in hybrid systems;

considers system mode identification;

provides a number of elaborated case studies that consider fault scenarios for switched power electronic systems commonly used in a variety of applications; and

indicates that bond graph modelling can alc§