✦ LIBER ✦

Engineering Asset Lifecycle Management || Data mining techniques for data cleaning

✍ Scribed by Kiritsis, Dimitris; Emmanouilidis, Christos; Koronios, Andy; Mathew, Joseph

Book ID: 120654955
Publisher: Springer London
Year: 2010
Tongue: English
Weight: 730 KB
Edition: 2
Category: Article
ISBN: 0857293206
DOI: 10.1007/978-0-85729-320-6_91

No coin nor oath required. For personal study only.

✦ Synopsis

Engineering Asset Management discusses state-of-the-art trends and developments in the emerging field of engineering asset management as presented at the Fourth World Congress on Engineering Asset Management (WCEAM). It is an excellent reference for practitioners, researchers and students in the multidisciplinary field of asset management, covering such topics as asset condition monitoring and intelligent maintenance; asset data warehousing, data mining and fusion; asset performance and level-of-service models; design and life-cycle integrity of physical assets; deterioration and preservation models for assets; education and training in asset management; engineering standards in asset management; fault diagnosis and prognostics; financial analysis methods for physical assets; human dimensions in integrated asset management; information quality management; information systems and knowledge management; intelligent sensors and devices; maintenance strategies in asset management; optimisation decisions in asset management; risk management in asset management; strategic asset management; and sustainability in asset management.

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