Engineering Asset Management 2016 : Proceedings of the 11th World Congress on Engineering Asset Management
Language: English
Published by Springer, 2018
Series: Book 36 of 268 - Lecture Notes in Mechanical Engineering
- Softcover
- New

Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
AbeBooks seller since April 6, 2009
Condition: New
US$ 261.23
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- Title
- Engineering Asset Management 2016 : Proceedings of the 11th World Congress on Engineering Asset Management
- Author
- Zuo, Ming J. (EDT); Ma, Lin (EDT); Mathew, Joseph (EDT); Huang, Hong-zhong (EDT)
- Publisher
- Springer
- Publication year
- 2018
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 331987277X
- ISBN 13
- 9783319872773
- Series
- Book 36 of 268: Lecture Notes in Mechanical Engineering
These proceedings gather selected peer-reviewed papers from the 11th World Congress on Engineering Asset Management (WCEAM), which was held in Jiuzhaigou, China, on 25–28 July, 2016.
These proceedings cover a wide range of topics in engineering asset management, including:
· strategic asset management;
· condition monitoring and diagnostics;· integrated intelligent maintenance;
· sensors and devices;
· information quality and management;
· sustainability in asset management;
· asset performance and knowledge management;
· data mining and AI techni
ques in asset management;· engineering standards; and
· education in engineering asset management.
The breadth and depth of these state-of-the-art, comprehensive proceedings make them an excellent resource for asset management practitioners, researchers and academics, as wellas undergraduate and postgraduate students.
"Synopsis" may belong to another edition of this title.
From the Back Cover
These proceedings cover a wide range of topics in engineering asset management, including:
· strategic asset management;
· condition monitoring and diagnostics;
· integrated intelligent maintenance;
· sensors and devices;
· information quality and management;
· sustainability in asset management;
· asset performance and knowledge management;
· data mining and AI techniques in
asset management;· engineering standards; and
· education in engineering asset management.
The breadth and depth of these state-of-the-art, comprehensive proceedings make them an excellent resource for asset management practitioners, researchers and academics, as well as undergraduate and postgraduate students.
"About the title" may belong to another edition of this title.
GreatBookPrices
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