FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2038447695> ?p ?o ?g. }

• W2038447695 endingPage "240" @default.
• W2038447695 startingPage "232" @default.
• W2038447695 abstract "The present paper is concerned with modelling techniques for combustion excited oscillations in swirl burner/furnace systems (SBF) for control strategy development. Artificial neural networks are used to model the combustion dynamics in an SBF which can be made to oscillate under various conditions. A methodology for building system models is proposed where dynamic flowrate measurements of gas and air are absent, the inputs being pressure time records, measurements of mean gas and air flowrates and geometry of the furnace. The modelling has two objectives: one is to model the system fluctuating pressure frequencies and rms amplitude, which can then be used to build a core stimulation model and the other to model the time domain dynamic response to pressure oscillation. Experiments were undertaken on a 100 kW swirl burner/furnace systems (SBF) test rig. This system could be made to oscillate regularly by parametric changes such as mean equivalence ratio, mean gas and air flowrates and small geometry changes. The pressure fluctuations generated by low frequency oscillations are considered when f<70 Hz. Fast fourier transform analysis of the data was carried out to derive the dominant first and second harmonic frequencies for various combustion conditions. Multilayer perceptron neural networks are applied and a solution to enhance the training converging speed applied. This is a rule of instant learning performance based dynamic learning rate. The effectiveness of the non-linear models trained is verified by prediction and comparison with experimental data. It is shown that the model can give predictions of oscillation frequency and amplitude beyond that of the experimental data upon which it was based." @default.
• W2038447695 created "2016-06-24" @default.
• W2038447695 creator A5023975119 @default.
• W2038447695 creator A5058851930 @default.
• W2038447695 creator A5059151089 @default.
• W2038447695 creator A5071802399 @default.
• W2038447695 date "2006-12-01" @default.
• W2038447695 modified "2023-09-28" @default.
• W2038447695 title "Dynamic modelling of low frequency oscillations in swirl burner/furnace systems using artificial neural networks" @default.
• W2038447695 cites W1969705022 @default.
• W2038447695 cites W1993141574 @default.
• W2038447695 cites W2005304400 @default.
• W2038447695 cites W2103496339 @default.
• W2038447695 doi "https://doi.org/10.1179/174602206x117779" @default.
• W2038447695 hasPublicationYear "2006" @default.
• W2038447695 type Work @default.
• W2038447695 sameAs 2038447695 @default.
• W2038447695 citedByCount "0" @default.
• W2038447695 crossrefType "journal-article" @default.
• W2038447695 hasAuthorship W2038447695A5023975119 @default.
• W2038447695 hasAuthorship W2038447695A5058851930 @default.
• W2038447695 hasAuthorship W2038447695A5059151089 @default.
• W2038447695 hasAuthorship W2038447695A5071802399 @default.
• W2038447695 hasConcept C105923489 @default.
• W2038447695 hasConcept C154945302 @default.
• W2038447695 hasConcept C178790620 @default.
• W2038447695 hasConcept C185592680 @default.
• W2038447695 hasConcept C2775924081 @default.
• W2038447695 hasConcept C39432304 @default.
• W2038447695 hasConcept C41008148 @default.
• W2038447695 hasConcept C47446073 @default.
• W2038447695 hasConcept C50644808 @default.
• W2038447695 hasConcept C83104080 @default.
• W2038447695 hasConceptScore W2038447695C105923489 @default.
• W2038447695 hasConceptScore W2038447695C154945302 @default.
• W2038447695 hasConceptScore W2038447695C178790620 @default.
• W2038447695 hasConceptScore W2038447695C185592680 @default.
• W2038447695 hasConceptScore W2038447695C2775924081 @default.
• W2038447695 hasConceptScore W2038447695C39432304 @default.
• W2038447695 hasConceptScore W2038447695C41008148 @default.
• W2038447695 hasConceptScore W2038447695C47446073 @default.
• W2038447695 hasConceptScore W2038447695C50644808 @default.
• W2038447695 hasConceptScore W2038447695C83104080 @default.
• W2038447695 hasIssue "4" @default.
• W2038447695 hasLocation W20384476951 @default.
• W2038447695 hasOpenAccess W2038447695 @default.
• W2038447695 hasPrimaryLocation W20384476951 @default.
• W2038447695 hasRelatedWork W1978587721 @default.
• W2038447695 hasRelatedWork W2039580018 @default.
• W2038447695 hasRelatedWork W2055596438 @default.
• W2038447695 hasRelatedWork W2156302326 @default.
• W2038447695 hasRelatedWork W2178260637 @default.
• W2038447695 hasRelatedWork W2386387936 @default.
• W2038447695 hasRelatedWork W2389211097 @default.
• W2038447695 hasRelatedWork W2744346909 @default.
• W2038447695 hasRelatedWork W2748952813 @default.
• W2038447695 hasRelatedWork W2899084033 @default.
• W2038447695 hasVolume "79" @default.
• W2038447695 isParatext "false" @default.
• W2038447695 isRetracted "false" @default.
• W2038447695 magId "2038447695" @default.
• W2038447695 workType "article" @default.