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Automation and Control Engineering #44: Intelligent Diagnosis and Prognosis of Industrial Networked Systems

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Automation and Control Engineering #44: Intelligent Diagnosis and Prognosis of Industrial Networked Systems Cover

 

Synopses & Reviews

Publisher Comments:

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:

  • Forecasting machine tool wear in industrial cutting machines
  • Reduction of sensors and features for industrial Fault Detection and Isolation (FDI)
  • Identification of critical resonant modes in mechatronic systems for system design of R&D
  • Probabilistic small-signal stability in large-scale interconnected power systems
  • Discrete event command and control for military applications

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)

Synopsis:

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.

Product Details

ISBN:
9781439839331
Author:
Pang, Justin Chee Khiang
Publisher:
CRC Press
Subject:
Networking - General
Publication Date:
20110631
Binding:
HARDCOVER
Language:
English

Related Subjects

» Computers and Internet » Networking » General
» Engineering » Engineering » General Engineering
» Reference » Science Reference » Technology
» Science and Mathematics » Electricity » General Electricity

Automation and Control Engineering #44: Intelligent Diagnosis and Prognosis of Industrial Networked Systems New Hardcover
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Product details pages CRC Press - English 9781439839331 Reviews:
"Synopsis" by , 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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