Uncertainty Assessment in Geologic Modeling and Sensitivity Analysis of Static and Dynamic Models in Umiat: A Frozen Shallow Oil Accumulation in National Petroleum Reserve of Alaska

2013 ◽  
Author(s):  
Mohabbat Ahmadi ◽  
Catherine Hanks ◽  
Iman Oraki Kohshour
Keyword(s):  
Sensitivity Analysis ◽  
Dynamic Models ◽  
Uncertainty Assessment ◽  
Oil Accumulation

FSAUA: A framework for sensitivity analysis and uncertainty assessment in historical and forecasted land use maps

2016 ◽  
Vol 84 ◽  
pp. 70-84 ◽  
Author(s):  
Amin Tayyebi ◽  
Amir Hossein Tayyebi ◽  
Jamal Jokar Arsanjani ◽  
Hossein Shafizadeh Moghadam ◽  
Hichem Omrani
Keyword(s):  
Land Use ◽  
Sensitivity Analysis ◽  
Uncertainty Assessment ◽  
Land Use Maps

scholarly journals Advanced Performance Metrics and Sensitivity Analysis for Model Validation and Calibration

2020 ◽  
Author(s):  
Urmila Agrawal ◽  
Pavel Etingov ◽  
Renke Huang
Keyword(s):  
Sensitivity Analysis ◽  
Power Systems ◽  
Model Validation ◽  
Real World ◽  
Model Calibration ◽  
Dynamic Models ◽  
Performance Metrics ◽  
Step Response ◽  
Response Characteristics ◽  
Oscillatory Response

<pre>High quality generator dynamic models are critical to reliable and accurate power systems studies and planning. With the availability of PMU measurements, measurement-based approach for model validation has gained significant prominence. Currently, the model validation results are analyzed by visually comparing real--world PMU measurements with the model-based response measurements, and parameter adjustments rely mostly on engineering experience. This paper proposes advanced performance metrics to systematically quantify the generator dynamic model validation results by separately taking into consideration slow governor response and comparatively fast oscillatory response. The performance metric for governor response is based on the step response characteristics of a system and the metric for oscillatory response is based on the response of generator to each system mode calculated using modal analysis. The proposed metrics in this paper is aimed at providing critical information to help with the selection of parameters to be tuned for model calibration by performing enhanced sensitivity analysis, and also help with rule-based model calibration. Results obtained using both simulated and real-world measurements validate the effectiveness of the proposed performance metrics and sensitivity analysis for model validation and calibration.</pre>

scholarly journals Limits of variance-based sensitivity analysis for non-identifiability testing in high dimensional dynamic models

Automatica ◽  
2012 ◽  
Vol 48 (11) ◽  
pp. 2740-2749 ◽  
Author(s):  
Simona Dobre ◽  
Thierry Bastogne ◽  
Christophe Profeta ◽  
Muriel Barberi-Heyob ◽  
Alain Richard
Keyword(s):  
Sensitivity Analysis ◽  
Dynamic Models ◽  
High Dimensional

Efficient multivariate sensitivity analysis for dynamic models based on cubature formula

2020 ◽  
Vol 206 ◽  
pp. 110164 ◽  
Author(s):  
Yushan Liu ◽  
Luyi Li ◽  
Changcong Zhou ◽  
Haodong Zhao
Keyword(s):  
Sensitivity Analysis ◽  
Dynamic Models ◽  
Cubature Formula

On the Dynamic Modeling of a Bevel-Geared Surgical Robotic Mechanism

2010 ◽  
Vol 4 (4) ◽  
Author(s):  
Xiaoli Zhang ◽  
Carl A. Nelson
Keyword(s):  
Sensitivity Analysis ◽  
Dynamic Modeling ◽  
Dynamic Models ◽  
Driving Forces ◽  
Dynamic Control ◽  
Design Stage ◽  
Inverse Dynamic ◽  
Surgical Tool ◽  
Tissue Manipulation ◽  
Clinical Experiments

The use of robotics to enhance visualization and tissue manipulation capabilities contributes to the advancement of minimally invasive surgery. For the development of surgical robot manipulators, the use of advanced dynamic control is an important aspect at the design stage to determine the driving forces and/or torques, which must be exerted by the actuators in order to produce a desirable trajectory of the end effector. Therefore, this study focuses on the generation of inverse dynamic models for a spherical bevel-geared mechanism called Compact Bevel-geared Robot for Advanced Surgery (CoBRASurge), which is used as a surgical tool manipulator. For given typical trajectories of end effectors in clinical experiments, the motion of each element in the mechanism can be derived using the inverse kinematic equations. The driving torques exerted by actuators can be determined according to the presented inverse dynamic formulations. The simulation results of CoBRASurge reveal the nature of the driving torques in spherical bevel-geared mechanisms. In addition, sensitivity analysis of mass contribution has been performed to evaluate the effect of individual elements on the peak driving torques. Dynamic models, such as the one presented, can be used for the design of advanced dynamic control systems, including gravity compensation and haptic interfaces for enhanced surgical functionality. The accompanying sensitivity analysis also provides a solid guideline for the design of the next generation CoBRASurge prototype. The present dynamic modeling methodology also gives a general dynamic analysis approach for other spherical articulated linkage mechanisms.

Étude comparative de trois modèles dynamiques de boues activées

1989 ◽  
Vol 16 (3) ◽  
pp. 400-407 ◽  
Author(s):  
D. Couillard ◽  
F. D'amours ◽  
G. Patry
Keyword(s):  
Mathematical Model ◽  
Sensitivity Analysis ◽  
Water Treatment ◽  
Activated Sludge ◽  
Organic Nitrogen ◽  
Dynamic Models ◽  
Dynamic Modelling ◽  
Activated Sludge Process ◽  
Transient Behaviour ◽  
Soluble Material

Three complete dynamic models are proposed to simulate the transient behaviour of the activated sludge process. The authors compare the responses obtained by simulation with datas found in the literature for the Norwich wastewater plant (England). A structured biological model with bi-substrate component (particles and soluble material) together with a nitrification model taking into account the organic nitrogen content of the affluent present the most realistic profils for the conditions studied. A sensitivity analysis reveals that a generalization of the model is possible if some parameters identified as critical are adjusted. Key words: mathematical model, activated sludge, water treatment, dynamic modelling, comparison of models.

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