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Asset Condition, Information Systems and Decision Models
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Feldname
Details
Vorliegende Sprache
eng
ISBN
978-1-4471-2923-3
Name
Amadi-Echendu, Joe E.
Willett, Roger ¬[Hrsg.]¬
Name ANZEIGE DER KETTE
Willett, Roger ¬[Hrsg.]¬
Name
Brown, Kerry ¬[Hrsg.]¬
Mathew, Joseph ¬[Hrsg.]¬
T I T E L
Asset Condition, Information Systems and Decision Models
Verlagsort
London
Verlag
Springer
Erscheinungsjahr
2012
2012
Umfang
Online-Ressource (XIII, 234 p. 84 illus, online resource)
Reihe
Engineering Asset Management Review
Notiz / Fußnoten
Description based upon print version of record
Weiterer Inhalt
Foreword; Preface; Contents; Approaches to Information Quality Management: State of the Practice of UK Asset-Intensive Organisations; 1 Introduction; 2 Assets and Asset Management; 3 Information Quality; 3.1 Information Quality Management; 3.2 Information Quality Management Maturity Models; 4 Assessment Process; 4.1 Selection of Cases; 4.2 Selection of Respondents; 5 Maturity Assessment Results; 5.1 General Trends in Implementing Information Quality Management Practices; 6 Guidelines for Improving Information Quality Management Practices; 7 Conclusion; References. Information Systems Implementation for Asset Management: A Theoretical Perspective1 Introduction; 2 Information Systems in Contemporary Asset Management; 3 Scope of Information Systems in Asset Management; 4 Barriers to Information System Implementation; 4.1 Limited Focus of Information System Implementation; 4.2 Lack of Information and Operational Technology Nexus; 4.3 Technology Push as Opposed to Technology Pull; 4.4 Isolated, Unintegrated and Ad hoc Technical Solutions; 4.5 Lack of Strategic View of Information System Capabilities; 4.6 Lack of Risk Mitigation for IT Infrastructure. 4.7 Institutionalisation Issues Surrounding Information Systems5 Defining Information System Implementation; 6 Perspectives on Information System Implementation; 6.1 Technological Determinism; 6.2 Socio-technical Alignment; 6.3 Organisational Imperative; 7 Aligning Information System Implementation with Strategic Orientation; 8 Information Systems from an Engineering Asset Management Alignment Perspective; 9 Conclusions; References; Appendix 1 Summary of Literature Relating to Barriers to Implementation of Information Systems. Appendix 2 Summary of Literature Relating to different theoretical Perspectives on the Implementation of Information SystemsImproving Asset Management Process Modelling and Integration; 1 Introduction; 2 Requirements for Representing AM Processes; 2.1 AM Process Description; 2.2 Symbols and Notations; 2.3 Trade-off Between Details and Simplicity; 3 Requirements for Implementing AM Process Modelling; 4 Requirements for Evaluating AM Processes; 5 Requirements for Integration; 6 Conclusions; References; Utilising Reliability and Condition Monitoring Data for Asset Health Prognosis. 1 Introduction1.1 Architecture of FFNN Prognostic Model; 1.2 Statistical Modelling of FFNN Training Targets; 1.2.1 Kaplan-Meier Estimation of Survival Probability; Training Targets for Complete Datasets; Training Targets for Suspended Datasets; 1.2.2 Failure PDF Estimation Based on Degradation Data; 1.2.3 Final Target Outputs for ANN Training; 2 Model Validation; 2.1 Prognostic Modelling Using Industry Pump Vibration Data; 2.2 Analysis of Prognostic Output; 2.3 Model Comparison; 3 Conclusions; References; Vibration-Based Wear Assessment in Slurry Pumps; 1 Introduction. 1.1 Pressure Pulsation, Ensuing Vibration and VPF Component. Improving 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.
Titelhinweis
Druckausg.ISBN: 978-144-712-923-3
ISBN
ISBN 978-1-4471-2924-0
Klassifikation
TBC
KJMV
TEC000000
658.5
TA177.4-185
Kurzbeschreibung
Asset 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
SWB-Titel-Idn
376064072
Signatur
Springer E-Book
Bemerkungen
Elektronischer Volltext - Campuslizenz
Elektronische Adresse
$uhttp://dx.doi.org/10.1007/978-1-4471-2924-0
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