2022
DOI: 10.1063/5.0076817
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AI assisted detection of shock motions inside a transonic duct

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Cited by 3 publications
(3 citation statements)
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“…In fact, the sensors used for recording the time series are affected by measurement errors. The related uncertainty is simulated here as in [48] by introducing random displacements (δϕ, δψ) to all data of the clean input time series. The same ANN-trained models of the previous analyses are still used for detecting the system parameters since the clean time sequences also represent the averaged signals in the present model, as explained below.…”
Section: Results With Reduced Length Input Time Seriesmentioning
confidence: 99%
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“…In fact, the sensors used for recording the time series are affected by measurement errors. The related uncertainty is simulated here as in [48] by introducing random displacements (δϕ, δψ) to all data of the clean input time series. The same ANN-trained models of the previous analyses are still used for detecting the system parameters since the clean time sequences also represent the averaged signals in the present model, as explained below.…”
Section: Results With Reduced Length Input Time Seriesmentioning
confidence: 99%
“…The clean time sequence {ϕ(ξ k ), ψ(ξ k )} in the input is perturbed by adding to each time step k random displacements {δϕ k , δψ k }. Both δϕ k and δψ k follow Gaussian distributions with zero mean and standard deviations such that each measurement is affected by an error ϵ ϕ and ϵ ψ , respectively, expressed as a percent of the measured values [48]. In the present analysis, we assumed ϵ ϕ = ϵ ψ = 10%, which is a large value.…”
Section: Results With Reduced Length Input Time Seriesmentioning
confidence: 99%
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