Fault detection and identification (FDI) play a fundamental role in
most modern industrial systems and processes. They are essential in
ensuring safe and reliable operation. In this book, Chapter One and
Chapter Two discuss general systems and the use of linearisations
for active fault detection in nonlinear differential algebraic
equations. Chapter Three provides a comparative analysis and
comprehensive review of the existing fault detection methods,
including manual picking and computer-aided
automatic/semi-automatic extraction. Chapter Four studies
self-adaptive expert systems for process monitoring and fault
detection. The final chapter provides a review of an integrated
Fault Detection and Diagnostics (FDD) system for HVAC&R based
on virtual sensors.
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