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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.
Computer-aided design -- Congresses. --- Engineering -- Methodology. --- Microelectronics -- Design -- Congresses. --- Microelectronics -- Simulation methods -- Congresses. --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Civil Engineering --- Industrial engineering. --- Industrial management. --- Assets (Accounting) --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Management engineering --- Simplification in industry --- Management --- Engineering. --- Management. --- Information technology. --- Business --- Finance. --- Engineering economics. --- Engineering economy. --- Quality control. --- Reliability. --- Industrial safety. --- Engineering Economics, Organization, Logistics, Marketing. --- Innovation/Technology Management. --- Finance, general. --- Quality Control, Reliability, Safety and Risk. --- IT in Business. --- Data processing. --- Industrial organization --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- Accidents --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Economy, Engineering --- Engineering economics --- Funding --- Funds --- Economics --- Currency question --- Electronic data processing --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Administration --- Industrial relations --- Organization --- Construction --- Industrial arts --- Prevention --- Asset requirements --- Engineering --- Value analysis (Cost control) --- System safety. --- Safety, System --- Safety of systems --- Systems safety --- Industrial safety --- Systems engineering --- Business—Data processing.
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