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Other titles in the Automation and Control Engineering series:
Automation and Control Engineering #44: Intelligent Diagnosis and Prognosis of Industrial Networked Systemsby Justin Chee Khiang Pang
Synopses & Reviews
In an era of intensive competition where plant operating efficiencies must be maximized, downtime due to machinery failure has become more costly. To cut operating costs and increase revenues, industries have an urgent need to predict fault progression and remaining lifespan of industrial machines, processes, and systems. An engineer who mounts an acoustic sensor onto a spindle motor wants to know when the ball bearings will wear out without having to halt the ongoing milling processes. A scientist working on sensor networks wants to know which sensors are redundant and can be pruned off to save operational and computational overheads. These scenarios illustrate a need for new and unified perspectives in system analysis and design for engineering applications.
Intelligent Diagnosis and Prognosis of Industrial Networked Systems proposes linear mathematical tool sets that can be applied to realistic engineering systems. The book offers an overview of the fundamentals of vectors, matrices, and linear systems theory required for intelligent diagnosis and prognosis of industrial networked systems. Building on this theory, it then develops automated mathematical machineries and formal decision software tools for real-world applications.
The book includes portable tool sets for many industrial applications, including:
The book also proposes future directions for intelligent diagnosis and prognosis in energy-efficient manufacturing, life cycle assessment, and systems of systems architecture. Written in a concise and accessible style, it presents tools that are mathematically rigorous but not involved. Bridging academia, research, and industry, this reference supplies the know-how for engineers and managers making decisions about equipment maintenance, as well as researchers and students in the field.
Book News Annotation:
Pang, Tong Heng Lee (both National U. of Singapore), Frank L. Lewis (U. of Texas-Arlington), and Zhao Yang Dong (Hong Kong Polytechnic U.) broaden the concept and practice of predictive maintenance by considering whole systems rather than individual components, and by using concepts and terminology that people in different fields can share, rather than specialized mathematics. The book is designed to bridge the gap between university study and actual practice by engineers and researchers. It can also serve as a textbook for an intermediate or advanced module as part of control engineering, systems reliability, diagnosis and prognosis, or related areas. Annotation ©2011 Book News, Inc., Portland, OR (booknews.com)
This monograph discusses methods of linear matrix operators and systems theory for intelligent diagnosis and prognosis of industrial networked systems. It provides comprehensive coverage of the state of the art in fault diagnosis and prognosis for networked systems and includes practical examples to demonstrate the method 's effectiveness in real-world applications. Written in a concise and accessible style, this book provides fundamental theory and advanced toolsets for fault diagnosis. Chapters include introductory material, new concepts and techniques, realistic application examples, and references.
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