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Condition Monitoring and Control for Intelligent Manufacturing (Springer Series in Advanced Manufacturing)

Condition Monitoring and Control for Intelligent Manufacturing (Springer Series in Advanced Manufacturing)

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Creators: Lihui Wang, Robert X. Gao
Publisher: Springer
Category: Book

List Price: $129.00
Buy New: $96.65
You Save: $32.35 (25%)



New (10) from $96.65

Sales Rank: 2167409

Media: Hardcover
Edition: 1
Number Of Items: 1
Pages: 399
Shipping Weight (lbs): 1.7
Dimensions (in): 9.3 x 6.3 x 1.1

ISBN: 1846282683
Dewey Decimal Number: 670.42
EAN: 9781846282683
ASIN: 1846282683

Publication Date: May 23, 2006
Availability: Usually ships in 1-2 business days
Condition: Absolutely Brand New & In Stock. 100% 30-Day Money Back. Direct from our warehouse. Ships by USPS. 1+ million customers served-In business since 1986. Happy Customers is Our #1 Goal. Toll Free Support

Also Available In:

  • Hardcover - Condition Monitoring and Control for Intelligent Manufacturing (Springer Series in Advanced Manufacturing)
  • Kindle Edition - Condition Monitoring and Control for Intelligent Manufacturing (Springer Series in Advanced Manufacturing)
  • Digital - Condition Monitoring and Control for Intelligent Manufacturing (Springer Series in Advanced Manufacturing)

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Product Description

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-based 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-based 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.



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