Condition Monitoring and Control for Intelligent Manufacturing [electronic resource] / edited by Lihui Wang, Robert X. Gao.

By: Wang, Lihui [editor.]Contributor(s): Gao, Robert X [editor.] | SpringerLink (Online service)Material type: TextTextLanguage: English Series: Springer Series in Advanced Manufacturing: Publisher: London : Springer London, 2006Description: XIX, 399 p. 255 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781846282690Subject(s): Engineering | Computer aided design | Vibration | Industrial engineering | Engineering | Industrial and Production Engineering | Automotive and Aerospace Engineering, Traffic | Vibration, Dynamical Systems, Control | Computer-Aided Engineering (CAD, CAE) and DesignAdditional physical formats: Printed edition:: No titleDDC classification: 670 LOC classification: T55.4-60.8Online resources: Click here to access online
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.
In: Springer eBooksSummary: 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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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.

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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