Ebook: Condition Monitoring and Control for Intelligent Manufacturing
- Tags: Industrial and Production Engineering, Automotive and Aerospace Engineering Traffic, Vibration Dynamical Systems Control, Computer-Aided Engineering (CAD CAE) and Design
- Series: Springer Series in Advanced Manufacturing
- Year: 2006
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-xix
Monitoring and Control of Machining....Pages 1-32
Precision Manufacturing Process Monitoring with Acoustic Emission....Pages 33-54
Tool Condition Monitoring in Machining....Pages 55-82
Monitoring Systems for Grinding Processes....Pages 83-107
Condition Monitoring of Rotary Machines....Pages 109-136
Advanced Diagnostic and Prognostic Techniques for Rolling Element Bearings....Pages 137-165
Sensor Placement and Signal Processing for Bearing Condition Monitoring....Pages 167-191
Monitoring and Diagnosis of Sheet Metal Stamping Processes....Pages 193-218
Robust State Indicators of Gearboxes Using Adaptive Parametric Modeling....Pages 219-244
Signal Processing in Manufacturing Monitoring....Pages 245-265
Autonomous Active-sensor Networks for High-accuracy Monitoring in Manufacturing....Pages 267-288
Remote Monitoring and Control in a Distributed Manufacturing Environment....Pages 289-313
An Intelligent Nanofabrication Probe for Surface Displacement/Profile Measurement....Pages 315-346
Smart Transducer Interface Standards for Condition Monitoring and Control of Machines....Pages 347-372
Rocket Testing and Integrated System Health Management....Pages 373-391
Back Matter....Pages 393-399
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.
Content:
Front Matter....Pages i-xix
Monitoring and Control of Machining....Pages 1-32
Precision Manufacturing Process Monitoring with Acoustic Emission....Pages 33-54
Tool Condition Monitoring in Machining....Pages 55-82
Monitoring Systems for Grinding Processes....Pages 83-107
Condition Monitoring of Rotary Machines....Pages 109-136
Advanced Diagnostic and Prognostic Techniques for Rolling Element Bearings....Pages 137-165
Sensor Placement and Signal Processing for Bearing Condition Monitoring....Pages 167-191
Monitoring and Diagnosis of Sheet Metal Stamping Processes....Pages 193-218
Robust State Indicators of Gearboxes Using Adaptive Parametric Modeling....Pages 219-244
Signal Processing in Manufacturing Monitoring....Pages 245-265
Autonomous Active-sensor Networks for High-accuracy Monitoring in Manufacturing....Pages 267-288
Remote Monitoring and Control in a Distributed Manufacturing Environment....Pages 289-313
An Intelligent Nanofabrication Probe for Surface Displacement/Profile Measurement....Pages 315-346
Smart Transducer Interface Standards for Condition Monitoring and Control of Machines....Pages 347-372
Rocket Testing and Integrated System Health Management....Pages 373-391
Back Matter....Pages 393-399
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