國立高雄大學圖資館 |

Language: English

Back

Asset condition, information systems...

Amadi-Echendu, Joe E.

Asset condition, information systems and decision models

Record Type:	Electronic resources : Monograph/item
Title/Author:	Asset condition, information systems and decision modelsedited by Joe E. Amadi-Echendu ... [et al.].
other author:	Amadi-Echendu, Joe E.
Published:	London :Springer London :2012.
Description:	218 p. :ill., digital ;25 cm.
Contained By:	Springer eBooks
Subject:	Industrial engineeringData processing.
Online resource:	http://dx.doi.org/10.1007/978-1-4471-2924-0
ISBN:	9781447129240 (electronic bk.)

Asset condition, information systems and decision models
Asset condition, information systems and decision models[electronic resource] /edited by Joe E. Amadi-Echendu ... [et al.]. - London :Springer London :2012. - 218 p. :ill., digital ;25 cm. - Engineering asset management review,2190-7846. - Engineering asset management review..

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.

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.

ISBN: 9781447129240 (electronic bk.)Subjects--Topical Terms:

586786
Industrial engineering
--Data processing.

LC Class. No.: T58.5 / .A87 2012

Dewey Class. No.: 620.00285

Asset condition, information systems and decision models
LDR:03251nmm a2200289 a 4500 001 354564
003 DE-He213
005 20121222090406.0
006 m d
007 cr nn 008maaau
008 130107s2012 enk s 0 eng d
020 $a 9781447129240 (electronic bk.)
020 $a 9781447129233 (paper)
035 $a 978-1-4471-2924-0
040 $a GP $c GP
041 0 $a eng
050 4 $a T58.5 $b .A87 2012
082 0 4 $a 620.00285 $2 23
090 $a T58.5 $b .A846 2012
245 0 0 $a Asset condition, information systems and decision models $h [electronic resource] / $c edited by Joe E. Amadi-Echendu ... [et al.].
260 $a London : $b Springer London : $b Imprint: Springer, $c 2012.
300 $a 218 p. : $b ill., digital ; $c 25 cm.
490 1 $a Engineering asset management review, $x 2190-7846
505 0 $a 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.
520 $a 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.
650 0 $a Industrial engineering $x Data processing. $3 586786
650 0 $a Maintenance. $3 277633
650 1 4 $a Engineering. $3 210888
650 2 4 $a Engineering Economics, Organization, Logistics, Marketing. $3 274009
650 2 4 $a Innovation/Technology Management. $3 514149
650 2 4 $a Finance/Investment/Banking. $3 511434
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 274011
650 2 4 $a Business Information Systems. $3 274346
700 1 $a Amadi-Echendu, Joe E. $3 586784
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Engineering asset management review. $3 586785
856 4 0 $u http://dx.doi.org/10.1007/978-1-4471-2924-0
950 $a Engineering (Springer-11647)