This book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The book employs computational
intelligence and fuzzy control principles to deliver a module that can adaptively monitor and optimize machine health and
performance. This book covers design and performance of such systems and provides case studies and data models for fault detection
and diagnosis. The contents cover everything from optimal sensor positioning to fault diagnosis. The principles laid out in
this book can be applied across rotating machinery such as turbines, compressors, and aircraft engines. The adaptive fault
diagnostics systems presented can be used in multiple time and safety critical applications in domains such as aerospace,
automotive, deep earth and deep water exploration, and energy.