Condition Monitoring and Control for Intelligent Manufacturing
ISBN: 1846282683
Category: Technical
Tag: Science/Engineering
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Posted on 2007-07-06. By anonymous.
Description
Condition Monitoring and Control for Intelligent Manufacturing

ISBN: 1846282683
Title: Condition Monitoring and Control for Intelligent Manufacturing (Springer Series in Advanced Manufacturing)
Author: I.Wang, Lihui II.Gao, Robert X
Publisher: Springer
Publication Date: 2006-05-23
Number Of Pages: 399
Book Description
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-based 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-based 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.
Table of Contents
1 Monitoring and control of machining 1
2 Precision manufacturing process monitoring with acoustic emission 33
3 Tool condition monitoring in machining 55
4 Monitoring systems for grinding processes 83
5 Condition monitoring of rotary machines 109
6 Advanced diagnostic and prognostic techniques for rolling element bearings 137
7 Sensor placement and signal processing for bearing condition monitoring 167
8 Monitoring and diagnosis of sheet metal stamping processes 193
9 Robust state indicators of gearboxes using adaptive parametric modeling 219
10 Signal processing in manufacturing monitoring 245
11 Autonomous active-sensor networks for high-accuracy monitoring in manufacturing 267
12 Remote monitoring and control in a distributed manufacturing environment 289
13 An intelligent nanofabrication probe for surface displacement/profile measurement 315
14 Smart transducer interface standards for condition monitoring and control of machines 347
15 Rocket testing and integrated system health management 373
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