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

Ming J. Zuo

ISBN 10: 331987277X / ISBN 13: 9783319872773

Edité par Springer International Publishing, Springer International Publishing, 2018

A propos de cet article

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.

N° de réf. du vendeur 9783319872773

Détails bibliographiques

• Titre: Engineering Asset Management 2016 : Proceedings of the 11th World Congress on Engineering Asset Management
• Éditeur: Springer International Publishing, Springer International Publishing
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 331987277X
• ISBN à 13 chiffres: 9783319872773
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 21 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 21 millimètres de profondeur
• Poids: 587 grammes

A propos de ce titre

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.