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Träfflista för sökning "db:Swepub ;conttype:(scientificother);lar1:(mdh);srt2:(2000-2004);pers:(Dahlquist Erik)"

Search: db:Swepub > Other academic/artistic > Mälardalen University > (2000-2004) > Dahlquist Erik

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1.	Färm, Carina, 1964- (author) Constructed Filters and Detention Ponds for Metal Reduction in Storm Water 2003 Doctoral thesis (other academic/artistic)
2.	Karlsson, Christer, et al. (author) Process and sensor diagnostics : Data reconciliation for a flue gas channel 2003 Reports (other academic/artistic)
3.	Nyström, Jenny, et al. (author) Filling level measurement in woodchips bins with radio-frequency spectroscopy 2003 In: Nordic seminar on thermochemical conversion of biofuels, Nov. 12, 2002. Book chapter (other academic/artistic)
4.	Nyström, Jenny, et al. (author) Långtidsutvärdering av nya on-line fukthaltsmätare för biobränsle [Long-term evalution of on-line sensors for determination of moistrue in biomass] 2002 Reports (other academic/artistic)
5.	Weidl, Galia, 1967- (author) Root Cause Analysis and Decision Support on Process Operation 2002 Doctoral thesis (other academic/artistic)
6.	Widarsson, Björn, et al. (author) Bayesian Network for Decision Support on Soot Blowing Superheaters in a Biomass Fuelled Boiler 2004 In: 2004 International Conference on Probabilistic Methods Applied to Power Systems. - 9780976131915 ; , s. 212-217 Conference paper (other academic/artistic)abstract In a process for combined heat and power generation there is a need for fault detection, decision support and risk assessment to prevent operational disturbances and reduction in performance. A method to achieve decision support is to use Bayesian networks, where knowledge about the process is combined with operational experience. The network covers the convectional superheaters in the flue gas train, which is a major problem domain in biomass-fuelled boilers. The superheaters are exposed to fouling from flue gases. Fouling reduces the heat transfer and result in a decreased power plant performance. The Bayesian network is constructed to give decision support on preventive action to reduce abnormal fouling. Validation of the Bayesian network show that the prediction of hard fouling works well under uncertainty.

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Type of publication: reports (2); doctoral thesis (2); conference paper (1); book chapter (1)

Type of content: other academic/artistic (6)Undo refine

Author/Editor: Dahlquist, Erik (4)Undo refine; Nyström, Jenny (2); Karlsson, Christer (2); Dahlquist, Erik, Pro ... (2); Widarsson, Björn (1); Axrup, Lars (1); show more...; Färm, Carina, 1964- (1); Sansalone, John, Pro ... (1); Jensen, Finn, Profes ... (1); Backa, S. (1); Thorin, E. (1); Weidl, Galia, 1967- (1); show less...

University: Mälardalen University (6)Undo refine

Language: English (4); Swedish (2)

Research subject (UKÄ/SCB): Engineering and Technology (6)

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