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Arnt Ove Eggen

Research Scientist

Arnt Ove Eggen

Research Scientist

Arnt Ove Eggen
Phone: 926 18 730
Mobile: 926 18 730
Department: Energy Systems
Office: Trondheim

publications and responsibilities

Publications

Publication

Methodology for establishing life curves based on condition monitoring data and expert judgements

http://www.sintef.no/en/publications/publication/?pubid=SINTEF+A15726

Remaining lifetime and probability of failure of components in the power system are important issues for planning of maintenance and refurbishment. The concept of life curves provides an approach to utilize information about the technical condition (condition states) for modelling component degradat...

Year 2010
Type Report
Publication

Guidelines to risk-based categorization of distribution system assets

http://www.sintef.no/en/publications/publication/?pubid=SINTEF+A13251

Asset management (e.g. maintenance and reinvestment) strategies are tools to cope with the risk in the distribution network by optimally allocating resources among components, and prioritizing component groups that are more likely to induce larger risk exposure in the system. This report proposes...

Year 2009
Type Report
Publication

Handbook on Condition Monitoring of Wind Turbines

http://www.sintef.no/en/publications/publication/?pubid=SINTEF+S11458

This paper presents a handbook on condition monitoring of wind turbines, developed for power companies in Norway. The main objective of the handbook is aiding technicians in the technical condition assessment. The handbook, in Norwegian, contains separate chapters for all main wind turbine component...

Authors Eggen Arnt Ove Rommetveit Olav Reitlo André Midtbø Einar O
Year 2009
Type Conference paper/Book chapter
Publication

Estimation of Sojourn Time Distribution Parameters Based on Expert Opinion and Condition Monitoring Data

http://www.sintef.no/en/publications/publication/?pubid=SINTEF+S7234

This paper presents an Bayesian approach for the estimation of sojourn time distribution parameters. Expert opinion and condition monitoring data can be used as source of information for the estimation. It is shown how expert opinion and data can be combined and how estimates for the parameters can ...

Year 2008
Type Presentation
Publication

Estimation of Sojourn Time Distribution Parameters Based on Expert Opinion and Condition Monitoring Data

http://www.sintef.no/en/publications/publication/?pubid=SINTEF+S7235

This paper presents an Bayesian approach for the estimation of sojourn time distribution parameters. Expert opinion and condition monitoring data can be used as source of information for the estimation. It is shown how expert opinion and data can be combined and how estimates for the parameters can ...

Year 2008
Type Conference paper/Book chapter
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