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E-book

Title Condition monitoring and control for intelligent manufacturing / Lihui Wang and Robert X. Gao (eds.)
Published London : Springer, ©2006

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Description 1 online resource (xix, 399 pages) : illustrations
Series Springer series in advanced manufacturing
Springer series in advanced manufacturing.
Contents Monitoring and Control of Machining -- Precision Manufacturing Process Monitoring with Acoustic Emission -- Tool Condition Monitoring in Machining -- Monitoring Systems for Grinding Processes -- Condition Monitoring of Rotary Machines -- Advanced Diagnostic and Prognostic Techniques for Rolling Element Bearings -- Sensor Placement and Signal Processing for Bearing Condition Monitoring -- Monitoring and Diagnosis of Sheet Metal Stamping Processes -- Robust State Indicators of Gearboxes Using Adaptive Parametric Modeling -- Signal Processing in Manufacturing Monitoring -- Autonomous Active-sensor Networks for High-accuracy Monitoring in Manufacturing -- Remote Monitoring and Control in a Distributed Manufacturing Environment -- An Intelligent Nanofabrication Probe for Surface Displacement/Profile Measurement -- Smart Transducer Interface Standards for Condition Monitoring and Control of Machines -- Rocket Testing and Integrated System Health Management
Summary 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
Bibliography Includes bibliographical references and index
Notes Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
Print version record
digitized 2010 HathiTrust Digital Library committed to preserve MiAaHDL pda
In Springer e-books
Subject Machinery -- Monitoring.
Manufacturing processes -- Automation.
TECHNOLOGY & ENGINEERING -- Industrial Engineering.
Manufacturing processes -- Automation.
Machinery -- Monitoring.
Ingénierie.
Machinery -- Monitoring
Manufacturing processes -- Automation
Form Electronic book
Author Wang, Lihui, 1959-
Gao, Robert X
ISBN 9781846282690
1846282691
1846282683
9781846282683
6610611904
9786610611904