Verkauf durch Sack Fachmedien

Wang / Gao

Condition Monitoring and Control for Intelligent Manufacturing

Medium: Buch
ISBN: 978-1-84628-268-3
Verlag: Springer
Erscheinungstermin: 08.05.2006
Lieferfrist: bis zu 10 Tage

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.

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.


Produkteigenschaften


  • Artikelnummer: 9781846282683
  • Medium: Buch
  • ISBN: 978-1-84628-268-3
  • Verlag: Springer
  • Erscheinungstermin: 08.05.2006
  • Sprache(n): Englisch
  • Auflage: 2006. Auflage 2006
  • Serie: Springer Series in Advanced Manufacturing
  • Produktform: Gebunden
  • Gewicht: 1680 g
  • Seiten: 400
  • Format (B x H x T): 165 x 244 x 29 mm
  • Ausgabetyp: Kein, Unbekannt

Themen


Autoren/Hrsg.

Herausgeber

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.