This book systematically presents a comprehensive framework and
effective techniques for in-depth analysis, clear design procedure, and
efficient implementation of diagnosis and prognosis algorithms for
hybrid systems. It offers an overview of the fundamentals of
diagnosis\prognosis and hybrid bond graph modeling. This book also
describes hybrid bond graph-based quantitative fault detection,
isolation and estimation. Moreover, it also presents strategies to track
the system mode and predict the remaining useful life under multiple
fault condition. A real world complex hybrid system-a vehicle steering
control system-is studied using the developed fault diagnosis methods to
show practical significance.
Readers of this book will benefit from easy-to-understand fundamentals
of bond graph models, concepts of health monitoring, fault diagnosis and
failure prognosis, as well as hybrid systems. The reader will gain
knowledge of fault detection and isolation in complex systems including
those with hybrid nature, and will learn state-of-the-art developments
in theory and technologies of fault diagnosis and failure prognosis for
complex systems.