000 04049nam a22004095i 4500
001 287277
003 MX-SnUAN
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008 150903s2012 xxk| o |||| 0|eng d
020 _a9781447129240
_99781447129240
024 7 _a10.1007/9781447129240
_2doi
035 _avtls000339666
039 9 _a201509030318
_bVLOAD
_c201404300403
_dVLOAD
_y201402060940
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA177.4-185
100 1 _aAmadi-Echendu, Joe E.
_eeditor.
_9316380
245 1 0 _aAsset Condition, Information Systems and Decision Models /
_cedited by Joe E. Amadi-Echendu, Roger Willett, Kerry Brown, Joseph Mathew.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2012.
300 _axiii, 234 páginas 84 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aEngineering Asset Management Review,
_x2190-7846
500 _aSpringer eBooks
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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aWillett, Roger.
_eeditor.
_9316381
700 1 _aBrown, Kerry.
_eeditor.
_9316382
700 1 _aMathew, Joseph.
_eeditor.
_9305620
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781447129233
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-2924-0
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c287277
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