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Condition Monitoring and Control for Intelligent Manufacturing

Part of the Springer Series in Advanced Manufacturing Book Series

Editors: Wang, Lihui; Gao, Robert X.

DOI: 10.1007/1-84628-269-1

ISBN: 978-1-84628-268-3

Publisher: Springer London - Springer Journals

Jan 1, 2006

1 - 10 of 15 Chapters

Available

Monitoring and Control of Machining

Ulsoy, A. Galip

Pages: 1 –32

[This chapter reviews major research developments over the past few decades in the monitoring and control of machining processes (e. g. turning, milling, drilling, and grinding). The major research accomplishments are reviewed from the perspective of a hierarchical monitoring and control system...
Available

Precision Manufacturing Process Monitoring with Acoustic Emission

Lee, D. E.; Hwang, Inkil; Valente, C. M. O.; Oliveira, J. F. G.; Dornfeld, David A.

Pages: 33 –54

[Demands in high-technology industries such as semiconductor, optics, MEMS, etc., have predicated the need for manufacturing processes that can fabricate increasingly smaller features reliably at very high tolerances. In-situ monitoring systems that can be used to characterize, control, and...
Available

Tool Condition Monitoring in Machining

Elbestawi, Mo A.; Dumitrescu, Mihaela; Ng, Eu-Gene

Pages: 55 –82

[Condition monitoring and diagnosis systems which are capable of identifying machining system defects and their location are essential for unmanned machining. Unattended (or minimally manned) machining would result in increased capital equipment utilization, thus substantially reducing...
Available

Monitoring Systems for Grinding Processes

Karpuschewski, Bernhard; Inasaki, Ichiro

Pages: 83 –107

[This chapter is dedicated to the description of monitoring systems for grinding processes. Grinding is by far the most important abrasive process with geometrically non-defined cutting edges and plays a prominent role to generate the final surface quality of machined parts. The monitoring...
Available

Condition Monitoring of Rotary Machines

Tandon, N.; Parey, A.

Pages: 109 –136

[Condition monitoring of machines provides knowledge about the condition of machines. Any deterioration in machine condition can be detected and preventive measures taken at an appropriate time to avoid catastrophic failures This is achieved by monitoring such parameters as vibration, wear debris...
Available

Advanced Diagnostic and Prognostic Techniques for Rolling Element Bearings

Kurfess, Thomas R.; Billington, Scott; Liang, Steven Y.

Pages: 137 –165

[Bearing failure is one of the foremost causes of breakdown in rotating machine, resulting in costly systems downtime. This chapter presents an overview of current state-of-the-art monitoring approaches for rolling element bearings. Issues related to sensors, signal processing as well as...
Available

Sensor Placement and Signal Processing for Bearing Condition Monitoring

Gao, Robert X.; Yan, Ruqiang; Sheng, Shuangwen; Zhang, Li

Pages: 167 –191

[The effectiveness and reliability of measurement techniques for bearing condition monitoring are affected by both the locations of the sensors and the signal processing algorithms selected for defect feature extraction. This chapter describes a structural dynamics-based sensor placement strategy...
Available

Monitoring and Diagnosis of Sheet Metal Stamping Processes

Du, R.

Pages: 193 –218

[Sheet metal stamping is one of the most commonly used manufacturing processes. Every day, millions of parts are made by stamping, ranging from small battery caps to large automobile body panels. Yet, it is a difficult process involving the press, the dies (including the binder), the material...
Available

Robust State Indicators of Gearboxes Using Adaptive Parametric Modeling

Zhan, Yimin; Makis, Viliam

Pages: 219 –244

[This chapter presents an in-depth study on the condition monitoring of rotating machinery using adaptive parametric modelling, focusing on the development of robust state indicators of gearboxes running from a brand new to breakdown state in a natural course, under varying load conditions. Three...
Available

Signal Processing in Manufacturing Monitoring

Li, C. James

Pages: 245 –265

[This chapter outlines three generic types of signatures encountered in monitoring of manufacturing process and equipment, i. e. periodic type including modulation, transient type, and dynamics changing type, and then summarizes signal processing algorithms and their suitability for various types...

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