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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.
List of 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.
About the author
Lihui Wang is a professor of virtual manufacturing at the University of Skövde s Virtual Systems Research Centre in Sweden. He was previously a senior research scientist at the Integrated Manufacturing Technologies Institute, National Research Council of Canada. He is also an adjunct professor in the Department of Mechanical and Materials Engineering at the University of Western Ontario, and a registered professional engineer in Canada.§His research interests and responsibilities are in web-based and sensor-driven real-time monitoring and control, distributed machining process planning, adaptive assembly planning, collaborative design, supply chain management, as well as intelligent and adaptive manufacturing systems.
Summary
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.
