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{ "item_title" : "Engineering Asset Management 2016", "item_author" : [" Ming J. Zuo", "Lin Ma", "Joseph Mathew "], "item_description" : "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 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 wellas undergraduate and postgraduate students.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/31/962/273/3319622730_b.jpg", "price_data" : { "retail_price" : "219.99", "online_price" : "219.99", "our_price" : "219.99", "club_price" : "219.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Engineering Asset Management 2016|Ming J. Zuo

Engineering Asset Management 2016 : Proceedings of the 11th World Congress on Engineering Asset Management

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9783319622736
  • ISBN-10: 3319622730
  • Publisher: Springer
  • Publish Date: October 2017
  • Dimensions: 9.21 x 6.14 x 0.88 inches
  • Shipping Weight: 1.58 pounds
  • Page Count: 372

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