Fault Detection: Methods, Applications and Technology

Daniel Martin (Editor)

Series: Systems Engineering Methods, Developments and Technology
BISAC: TEC009060

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$95.00

Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick

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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 linearizations 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. (Imprint: Nova)

Preface

Chapter 1. Active Fault Detection in Nonlinear Differential Algebraic Equations I: General Systems
Stephen L. Campbell (Department of Mathematics, North Carolina State University, Raleigh, North Carolina, USA)

Chapter 2. Active Fault Detection in Nonlinear Differential Algebraic Equations II: Using Linearizations
Stephen L. Campbell and Jason R. Scott (Department of Mathematics, North Carolina State University, Raleigh, North Carolina, USA)

Chapter 3. Seismic Attribute-Aided Fault Detection in Petroleum Industry: A Review
Haibin Di and Dengliang Gao (Formerly Department of Geology and Geography, West Virginia University, Morgantown, West Virginia, USA, and others)

Chapter 4. Self- Adaptive Expert System for Process Monitoring and Fault Detection
Milena R. Petkoviæ, Željko S. Kanoviæ, and Milan R. Rapaiæ (Faculty of Technical Sciences, Novi Sad, Serbia)

Chapter 5. An Integrated FDD System for HVAC&R Based on Virtual Sensors
Woohyun Kim (Pacific Northwest National Laboratory, Richland, WA, USA)

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