Probabilistic detection of impacts using the PFEEL algorithm with a Gaussian Process Regression Model

Y MejiaCruz, JM Caicedo, Z Jiang, JM Franco - Engineering Structures, 2023 - Elsevier
Methods for identifying human activity have a wide range of potential applications, including
security, event time detection, intelligent building environments, and human health. Current …

From abstraction to design: Interpretable tree-based machine learning for stable thermoacoustic system layout

M Kuznetsova, A Ghani - Proceedings of the Combustion Institute, 2024 - Elsevier
Thermoacoustic instabilities are a long-standing problem. Both academia and industry
researched intensively this problem, but even today, no guidelines (or design rules) exist to …

A Stochastic and Bayesian Inference Toolchain for Uncertainty and Risk Quantification of Rare Autoignition Events in Dry Low-Emission Premixers

S Yousefian, S Jella, P Versailles… - … for Gas Turbines …, 2022 - asmedigitalcollection.asme.org
Quantification of aleatoric uncertainties due to the inherent variabilities in operating
conditions and fuel composition is essential for designing and improving premixers in dry …

The impact of exceptional points on the reliability of thermoacoustic stability analysis

F Schaefer, S Guo, W Polifke - … of Engineering for …, 2021 - asmedigitalcollection.asme.org
Exceptional points can be found for specific sets of parameters in thermoacoustic systems.
At an exceptional point, two eigenvalues and their corresponding eigenfunctions coalesce …

Confidence in flame impulse response estimation from large eddy simulation with uncertain thermal boundary conditions

S Kulkarni, S Guo, CF Silva… - … of Engineering for …, 2021 - asmedigitalcollection.asme.org
Thermoacoustic stability analysis is an essential part of the engine development process.
Typically, thermoacoustic stability is determined by hybrid approaches. These approaches …

Preserving transfer-behavior in Model Order Reduction for thermoacoustic stability analysis

N Purwar, W Polifke - Journal of Sound and Vibration, 2023 - Elsevier
Thermoacoustic systems are often modeled with a hybrid approach that combines separate
models for acoustic propagation and flame dynamics. Model Order Reduction (MOR) may …

Reliable calculation of thermoacoustic instability risk using an imperfect surrogate model

S Guo, CF Silva, W Polifke - … of Engineering for …, 2021 - asmedigitalcollection.asme.org
One of the fundamental tasks in performing robust thermoacoustic design of gas turbine
combustors is calculating the modal instability risk, ie, the probability that a thermoacoustic …

Robust identification of flame frequency response via multi-fidelity Gaussian process approach

S Guo, CF Silva, W Polifke - Journal of Sound and Vibration, 2021 - Elsevier
Accurate, robust, and efficient identification of flame frequency response (FFR) plays a
crucial role in thermoacoustic instability prediction, analysis and control. In order to extract …

Adjoint-Based Analysis of Low-Order Thermoacoustic Networks

F Engelhardt - 2023 - mediatum.ub.tum.de
The thesis aims to improve the understanding of thermoacoustic system behavior by
employing and extending network model analysis. The proposed methods and …

Local modeling and uncertainty quantification of the linear flame response

A Avdonin - 2022 - mediatum.ub.tum.de
This thesis and the corresponding publications cover the local modeling and uncertainty
quantification of the linear flame response. The local flame modeling is required at high …