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Condition Monitoring and Control for Intelligent Manufacturing

PUBLISHER Springer (05/08/2006)
PRODUCT TYPE Hardcover (Hardcover)

Description

Manufacturing systems and processes are becoming more complex, so more rational decision-making in process control is a necessity. Better information gathering and analysis techniques are needed and condition monitoring is seen as a framework that will enable these improvements.

Condition Monitoring and Control for Intelligent Manufacturing brings together the world's authorities on condition monitoring to provide a broad treatment of the subject accessible to researchers and practitioners in manufacturing industry.

The book presents a review of the key areas of research in machine condition monitoring and control, before focusing on an in-depth treatment of each important technique, from multi-domain signal processing for defect diagnosis to web-based information delivery for real-time control.

Researchers in manufacturing and control engineering, as well as practising engineers in industries from automotive to packaging manufacturing will find this book valuable.

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Product Format
Product Details
ISBN-13: 9781846282683
ISBN-10: 1846282683
Binding: Hardback or Cased Book (Sewn)
Content Language: English
More Product Details
Page Count: 400
Carton Quantity: 20
Product Dimensions: 6.14 x 0.94 x 9.21 inches
Weight: 1.68 pound(s)
Feature Codes: Bibliography, Index, Illustrated
Country of Origin: DE
Subject Information
BISAC Categories
Technology & Engineering | Industrial Engineering
Technology & Engineering | Design, Graphics & Media - CAD-CAM
Technology & Engineering | Mechanical
Dewey Decimal: 670.42
Library of Congress Control Number: 013366359
Descriptions, Reviews, Etc.
jacket back

Manufacturing systems and processes are becoming increasingly complex, making more rational decision-making in process control a necessity. Better information gathering and analysis techniques are needed and condition monitoring is gaining attention from researchers worldwide as a framework that will enable these improvements.

Condition Monitoring and Control for Intelligent Manufacturing brings together the world's authorities on condition monitoring to provide a broad treatment of the subject accessible to researchers and practitioners in manufacturing industry.

The book presents a wide and comprehensive review of the key areas of research in machine condition monitoring and control, before focusing on an in-depth treatment of each important technique, from multi-domain signal processing for defect diagnosis to web-based information delivery for real-time control.

Condition Monitoring and Control for Intelligent Manufacturing is a valuable resource for researchers in manufacturing and control engineering, as well as practising engineers in industries from automotive to packaging manufacturing.

The Springer Series in Advanced Manufacturing publishes the best teaching and reference material to support students, educators and practitioners in manufacturing technology and management. This international series includes advanced textbooks, research monographs, edited works and conference proceedings covering all subjects in advanced manufacturing. The series focuses on new topics of interest, new treatments of more traditional areas and coverage of the applications of information and communication technology (ICT) in manufacturing.

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publisher marketing

Manufacturing systems and processes are becoming more complex, so more rational decision-making in process control is a necessity. Better information gathering and analysis techniques are needed and condition monitoring is seen as a framework that will enable these improvements.

Condition Monitoring and Control for Intelligent Manufacturing brings together the world's authorities on condition monitoring to provide a broad treatment of the subject accessible to researchers and practitioners in manufacturing industry.

The book presents a review of the key areas of research in machine condition monitoring and control, before focusing on an in-depth treatment of each important technique, from multi-domain signal processing for defect diagnosis to web-based information delivery for real-time control.

Researchers in manufacturing and control engineering, as well as practising engineers in industries from automotive to packaging manufacturing will find this book valuable.

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Editor: Wang, Lihui
Dr. Lihui Wang is a research officer of Integrated Manufacturing Technologies Institute at National Research Council of Canada (NRe. He received his Ph.D. and M.Sc. degrees from the Kobe University, Japan in 1993 and 1990, and his B.Sc. from China in 1982, respectively. Prior to joining NRC, he has worked for two years at the Kobe University and another two years at the Toyohashi University of Technology (both in Japan) as an Assistant Professor. His work on web-based monitoring and remote control has won the Best Paper Award at the FAIM 2002 international conference in Germany, and his research on intelligent shop floor has won the Best Poster Award at PRO-VE'03, the 4th IFIP Working Conference on Virtual Enterprises in Switzerland. In addition, he is also a five-time winner of the NRC Institute Awards on Excellence & Leadership in R& D and Global Reach. His research interests are focused on web-based real-time monitoring and control, distributed artificial intelligence, intelligent manufacturing systems, and distributed process planning. He published over 100 research papers in engineering journals and refereed conference proceedings, and has edited 3 conference proceedings on manufacturing research. Dr. Robert X. Gao is an Associate Professor of Mechanical Engineering at the University of Massachusetts Amherst, USA. He received his B.S. degree from China, and his M.S. and Ph.D. from the Technical University Berlin, Germany, in 1982, 1985, and 1991, respectively. Since starting his academic career in 1992, he has been conducting research in the general area of embedded sensors and sensor networks, "smart" electromechanical systems, wireless data communication, and signalprocessing for machine health monitoring, diagnosis, and prognosis. Dr. Gao has published over 100 refereed papers on journals and international conferences, and has one US patent and two pending patent applications on sensing. He is an Associate Editor for the IEEE Transactions on Instrumentation and Measurement, and served as the Guest Editor for the Special Issue on Sensors of the ASME Journal of Dynamic Systems, Measurement, and Control, published in June, 2004. Condition-based Monitoring and Control for Intelligent Manufacturing has arisen from the Flexible Automation and Intelligent Manufacturing (FAIM 2004) conference, held in Toronto, Canada on July12-14 2004. Thirty papers have been selected out of 170 presented at the conference and the authors of these papers have been invited to submit extended updated versions of these papers in order to create a state of the art review of condition-based monitoring and control in manufacturing.
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Hardcover