Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 220 for “"Uncertainty analysis"”.
-
Uncertainty analysis of disc brake squeal propensity
… problem but the popular complex eigenvalue analysis (CEA) as a prediction tool is linear, while the material properties, operating conditions and friction behavior at the rotor-pad contact interface are not known accurately. In this thesis, the uncertainty analysis is used to improve the …
-
Uncertainty analysis in ecological risk assessment modeling
… (ERA) model to characterize risk and address uncertainty. This study addresses the following sources of uncertainty: parameter inputs in the ERA models, risk algorithms and uncertain input concentrations. To achieve this objective, both sensitivity and uncertainty analyses are being conducted. …
-
Uncertainty analysis of power systems using collocation
… and inaccurate system model information make uncertainty a necessary consideration. Characterizing systems under uncertainty is essentially a problem of representing the system as a function over a random space. This can be accomplished by sampling the function, where in the case of the …
-
Parametric uncertainty analysis for complex engineering systems
… for allowing direct incorporation of uncertainty into the model formulation and for identifying the relative importance of different parameters. The basis of these methods is the deterministic equivalent modeling method (DEMM), which applies polynomial chaos expansions and the …
-
Uncertainty analysis of the cost of climate policies
… This thesis will try to understand how uncertainty on the consequences of climate change drives the cost of policy decisions. It will especially try to find out what are the main sources of uncertainty in policy costs and where should we therefore put our research and policy efforts. In …
-
Uncertainty analysis in software reliability of component-based systems
… the model. These models however, discard the uncertainty of the parameters, that is, they do not attempt to answer the question how parameter uncertainties propagate into overall system reliability. Therefore, the traditional way of estimating software reliability by plugging point estimates …
-
Predictive visual servoing; uncertainty analysis and probabilistic robust frameworks
Motion control of robots in unstructured environments is a challenging task. The utilization of cameras as an information-rich sensor shows promise. In this context, image-based visual predictive controllers have gained attention due to their optimal-ity and constraint-handling capabilities. …
-
Uncertainty Analysis and Calibration of Water Distribution Quality Models
… operation decisions. However, model accuracy and uncertainty will impact the model based decisions. Model prediction uncertainty results from uncertainty in model parameters that are determined through calibration or are based upon modeler judgment. The focus of this dissertation is the effect of …
-
Uncertainty analysis in automatic reaction mechanism generation : neopentyl + O₂
… did not include tools for the propagation of uncertainty. Rate constants and thermodynamic properties are not known precisely, and this can lead to large errors in model predictions. This work presents tools for sensitivity analysis and uncertainty propagation within an automatic reaction …
-
Uncertainty Analysis of Computational Fluid Dynamics Via Polynomial Chaos
The main limitations in performing uncertainty analysis of CFD models using conventional methods are associated with cost and effort. For these reasons, there is a need for the development and implementation of efficient stochastic CFD tools for performing uncertainty analysis. One of the main …
-
Uncertainty Analysis of Biological Nonlinear Models Based on Bayesian Estimation
The general goal of this study is to develop an uncertainty analysis procedure based on realistic distribution for nonlinear models, especially biological models. Parameter estimation, random number generation, and uncertainty analysis are closely related in Monte Carlo simulation based model …
-
Modeling aviation's global emissions, uncertainty analysis, and applications to policy
… were not statistically significant given the uncertainty in the modeling tool.
-
Single View Coplanar Photogrammetry and Uncertainty Analysis for Traffic Accident Reconstruction
… coplanar photogrammetry and provide a measure of uncertainty for its measurements. Photogrammetry requires information about the interior and exterior orientation of the camera. Process maximum likelihood estimation (MLE) of the interior parameters of the camera or camera calibration and methods …
-
Nonlinear uncertainty analysis for multiple criteria natural resource decision support systems
… computational efforts associated with analytical uncertainty analysis. As for the decision component, a generalized closed form solution of the WQDSS's decision model is derived to allow consideration of a vector of quantitative scale factors. The factors indicate the relative importance of the …
-
Integrating response surface methods and uncertainty analysis into ship concept exploration
Thesis (Nav.E.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2002.
-
A Detailed Uncertainty Analysis of Heat Transfer Experiments Using Temperature Sensitive Paint
… techniques. These data are subjected to uncertainty analysis and the major contributing parameter in the uncertainty is found. A tool to identify the major contributing parameter is devised to reduce the uncertainty in the experiment. Further the effect of temperature difference (surface …
-
Integrated Business and Technical System Modeling of Rail Projects with Uncertainty Analysis
… business and technical systems and enables uncertainty analysis. Advantage of this model is that it allows us to consider combinations of multiple system decisions and multiple business decisions. Taking advantage, for example, the research led to the following analysis: By looking at the …
-
Improving ensemble streamflow forecasts through targeted post-processing and rating curve uncertainty analysis
… des courbes de tarage (RCU, rating curve uncertainty), l'impact de la RCU sur les performances des systèmes de prévision des débits fluviaux reste peu exploré. En outre, les méthodes de post-traitement actuelles utilisées dans les systèmes de prévision des débits ont négligé l'incertitude …
Page 1 of 11