Overview

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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9781536103458

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Born in Madrid, Spain, Daniel Martin was educated in French schools from ages six through nineteen. At the age of twenty-eight, he moved to America where he became a U.S. citizen. In the United States, he received his Ph.D. in romance languages and literatures from Yale University in 1974. He taught French at the University of Massachusetts for nearly thirty years and retired a few years ago. He is the author of various books and articles in English, French, and Spanish.

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