Engineering Asset Management 2016
Proceedings of the 11th World Congress on Engineering Asset Management
Herausgegeben: Zuo, Ming J.; Ma, Lin; Mathew, Joseph; Huang, Hong-Zhong
Versandkostenfrei!
Versandfertig in 6-10 Tagen
151,99 €
inkl. MwSt.
PAYBACK Punkte
76 °P sammeln!
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 standar...
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.
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.
Andere Kunden interessierten sich für
