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

Ming J. Zuo

ISBN 10: 331987277X / ISBN 13: 9783319872773

Published by Springer International Publishing, Springer International Publishing, 2018

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783319872773

Bibliographic Details

• Title: Engineering Asset Management 2016 : Proceedings of the 11th World Congress on Engineering Asset Management
• Publisher: Springer International Publishing, Springer International Publishing
• Publication Date: 2018
• Language: English
• ISBN 10: 331987277X
• ISBN 13: 9783319872773
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 21D millimeters 235 millimeters width by 155 millimeters height by 21 millimeters depth
• Weight: 587 grams

About this title

Synopsis

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.