000 04412nam a22005895i 4500
001 978-1-4471-2924-0
003 DE-He213
005 20141014113447.0
007 cr nn 008mamaa
008 121116s2012 xxk| s |||| 0|eng d
020 _a9781447129240
_9978-1-4471-2924-0
024 7 _a10.1007/978-1-4471-2924-0
_2doi
041 _aeng
050 4 _aTA177.4-185
072 7 _aTBC
_2bicssc
072 7 _aKJMV
_2bicssc
072 7 _aTEC000000
_2bisacsh
082 0 4 _a658.5
_223
100 1 _aAmadi-Echendu, Joe E.
_eeditor.
245 1 0 _aAsset Condition, Information Systems and Decision Models
_h[electronic resource] /
_cedited by Joe E. Amadi-Echendu, Roger Willett, Kerry Brown, Joseph Mathew.
260 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2012.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2012.
300 _aXIII, 234 p. 84 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEngineering Asset Management Review,
_x2190-7846
505 0 _aImproving Asset Management Process Modelling and Integration -- Field-wide Integrated Planning In Complex and Remote Operational Environments: Reflections based on an industrial case study -- Utilising Reliability and Condition Monitoring Data for Asset Health Prognosis -- The Concept of the Distributed Diagnostic System for Structural Health Monitoring of Critical Elements of Infrastructure Objects -- Vibration Based Wear Assessment in Slurry Pumps -- Machine Prognostics Based on Health State Estimation Using SVM -- Information System Implementation for Asset Management: A theoretical perspective -- A Flexible Asset Maintenance Decision-Making Process Model -- Optimising Preventive Maintenance Strategy for Production Lines -- Approaches to Information Quality Management: State of the Practice of UK Asset Intensive Organizations -- Modelling Risk in Discrete Multi-State Risk in Discrete Multi-State Repairable Systems -- Managing the Risks of Adverse Operational Requirements in Power Generation: Case Study in Gas and Hydro Turbines.
520 _aAsset Condition, Information Systems and Decision Models, is the second volume of the Engineering Asset Management Review Series. The manuscripts provide examples of implementations of asset information systems as well as some practical applications of condition data for diagnostics and prognostics. The increasing trend is towards prognostics rather than diagnostics, hence the need for assessment and decision models that promote the conversion of condition data into prognostic information to improve life-cycle planning for engineered assets. The research papers included here serve to support the on-going development of Condition Monitoring standards. This volume comprises selected papers from the 1st, 2nd, and 3rd World Congresses on Engineering Asset Management, which were convened under the auspices of ISEAM in collaboration with a number of organisations, including CIEAM Australia, Asset Management Council Australia, BINDT UK, and Chinese Academy of Sciences, Beijing University of Chemical Technology, China. Asset Condition, Information Systems and Decision Models will be of particular interest to finance, maintenance, and operations personnel whose roles directly affect the capability value of engineering asset base, as well as asset managers in both industry and government.
650 0 _aEngineering.
650 0 _aEngineering economy.
650 0 _aSystem safety.
650 0 _aManagement information systems.
650 1 4 _aEngineering.
650 2 4 _aEngineering Economics, Organization, Logistics, Marketing.
650 2 4 _aInnovation/Technology Management.
650 2 4 _aFinance/Investment/Banking.
650 2 4 _aQuality Control, Reliability, Safety and Risk.
650 2 4 _aBusiness Information Systems.
700 1 _aWillett, Roger.
_eeditor.
700 1 _aBrown, Kerry.
_eeditor.
700 1 _aMathew, Joseph.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447129233
830 0 _aEngineering Asset Management Review,
_x2190-7846
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-2924-0
912 _aZDB-2-ENG
942 _cEB
999 _c1718
_d1718