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9th WCEAM Research Papers
  • Language: en
  • Pages: 456

9th WCEAM Research Papers

  • Type: Book
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  • Published: 2015-03-18
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  • Publisher: Springer

Engineering asset management encompasses all types of engineered assets including built environment, infrastructure, plant, equipment, hardware systems and components. Following the release of ISO 5500x set of standards, the 9th WCEAM addresses the hugely important issue of what constitutes the body of knowledge in Engineering Asset Management. Topics discussed by Congress delegates are grouped into a number of tracks including strategies for investment and divestment of assets, operations and maintenance of assets, assessments of assets condition, risk and vulnerability, technologies and systems for management of asset, standards, education, training and certification. These proceedings include a sample of the wide range of topics presented during the 9th World Congress on Engineering Asset Management in Pretoria South Africa 28 – 31 October, 2014 and complements other emerging publications and standards that embrace the wide ranging issues concerning the management of engineered physical assets.

A Process-Centric View on Predictive Maintenance and Fleet Prognostics. Development of a Process Reference Model and a Development Method for Fleet Prognostics to Guide Predictive Maintenance Projects
  • Language: en
  • Pages: 320

A Process-Centric View on Predictive Maintenance and Fleet Prognostics. Development of a Process Reference Model and a Development Method for Fleet Prognostics to Guide Predictive Maintenance Projects

In the age of digitalization and the fourth industrial revolution, predictive maintenance is becoming increasingly important as a proactive maintenance type. Despite the economic benefits that predictive maintenance generates for companies, its practical application is still in its early stages. This is often due to two prevailing challenges. First, there is a deficiency of knowledge about predictive maintenance and its concrete realization. Second, there is a lack of high quality and rich data of historical machine failures. To increase the representativeness of data, data from several similar machines (i.e. a fleet) should be considered. To foster the effective implementation of predictive...

The Courier
  • Language: en
  • Pages: 88

The Courier

  • Type: Book
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  • Published: 2002-11
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  • Publisher: Unknown

description not available right now.

Enterprise
  • Language: en
  • Pages: 788

Enterprise

  • Type: Book
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  • Published: 1997
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  • Publisher: Unknown

description not available right now.

Pale ea bophelo ba Ntsu
  • Language: un
  • Pages: 440

Pale ea bophelo ba Ntsu

  • Type: Book
  • -
  • Published: 1994
  • -
  • Publisher: Unknown

On the life of Ntsu Mokhehle.

The Lesotho Law Reports
  • Language: en
  • Pages: 448

The Lesotho Law Reports

  • Type: Book
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  • Published: 1967
  • -
  • Publisher: Unknown

description not available right now.

Moafrika
  • Language: st
  • Pages: 206

Moafrika

  • Type: Book
  • -
  • Published: 2003
  • -
  • Publisher: Unknown

description not available right now.

Johannesburg
  • Language: en
  • Pages: 1196

Johannesburg

  • Type: Book
  • -
  • Published: 1998
  • -
  • Publisher: Unknown

description not available right now.

Mejametalana
  • Language: st
  • Pages: 114

Mejametalana

Bukana ea MEJAMETALANA e fana, ka totobalo, botlalo ba liketsahalo tse etelletseng motheo oa MASERU, ho ba motse-moholo oa LESOTHO la kajeno. E thoholisa likamano tsa baahi ba motse, mehleng ea puso ea balichaba. Ka hona e leka ho hlabolla sesosa sa lipherekano tse tetebelitseng sechaba sa BASOTHO, se neng se hlonepheha har'a meloko ea Afrika-Boroa. Bukana e ngotsoe ka SESOTHO, se senang motsoako, ke moahi oa khale oa Thibella, ea tsebileng Maseru joaloka seatla sa letsoho. O hahlautse linaheng tse ngata tsa Afrika, tsa Europa le tsa Amerika, moo a ithutileng maphelo a mehlobo emeng. Bukana ena e lokela barutoana ba likolo le babali ba thabelang puo ea Sesotho. Ba ratang ho utloisisa mojaro o imetseng Lesotho ho itokolla bofumeng, ba tla thonaka mabaka a entseng Lesotho khamelo e lutlang, leha matla a Basotho a thusitse ho nonts naha ea Afrika-Boroa.

Engineering Asset Management
  • Language: en
  • Pages: 997

Engineering Asset Management

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.