Static sensitivity analysis of washer-type piezoelectric six-axis force sensor

2019 ◽  
Vol 27 (4) ◽  
pp. 901-910
Author(s):  
刘 俊 LIU Jun ◽  
徐军领 XU Jun-ling ◽  
李 敏 LI Min ◽  
秦 岚 QIN Lan ◽  
刘京诚 LIU Jing-cheng ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Force Sensor ◽  
Static Sensitivity

Comparison between dynamic and static sensitivity analysis approaches for impact assessment of different potential evapotranspiration methods on hydrological models performance

2021 ◽  
Author(s):  
Rodric Mérimé Nonki ◽  
André Lenouo ◽  
Christopher J. Lennard ◽  
Raphael M. Tshimanga ◽  
Clément Tchawoua
Keyword(s):  
Sensitivity Analysis ◽  
Impact Assessment ◽  
Hydrological Modeling ◽  
Potential Evapotranspiration ◽  
Model Performance ◽  
Estimation Methods ◽  
Model Parameters ◽  
Hydrological Models ◽  
Sensitivity Approach ◽  
Static Sensitivity

AbstractPotential Evapotranspiration (PET) plays a crucial role in water management, including irrigation systems design and management. It is an essential input to hydrological models. Direct measurement of PET is difficult, time-consuming and costly, therefore a number of different methods are used to compute this variable. This study compares the two sensitivity analysis approaches generally used for PET impact assessment on hydrological model performance. We conducted the study in the Upper Benue River Basin (UBRB) located in northern Cameroon using two lumped-conceptual rainfall-runoff models and nineteen PET estimation methods. A Monte-Carlo procedure was implemented to calibrate the hydrological models for each PET input while considering similar objective functions. Although there were notable differences between PET estimation methods, the hydrological models performance was satisfactory for each PET input in the calibration and validation periods. The optimized model parameters were significantly affected by the PET-inputs, especially the parameter responsible to transform PET into actual ET. The hydrological models performance was insensitive to the PET input using a dynamic sensitivity approach, while he was significantly affected using a static sensitivity approach. This means that the over-or under-estimation of PET is compensated by the model parameters during the model recalibration. The model performance was insensitive to the rescaling PET input for both dynamic and static sensitivities approaches. These results demonstrate that the effect of PET input to model performance is necessarily dependent on the sensitivity analysis approach used and suggest that the dynamic approach is more effective for hydrological modeling perspectives.

scholarly journals Design and Sensitivity Analysis Simulation of a Novel 3D Force Sensor Based on a Parallel Mechanism

Sensors ◽  
2016 ◽  
Vol 16 (12) ◽  
pp. 2147 ◽  
Author(s):  
Eileen Yang
Keyword(s):  
Sensitivity Analysis ◽  
Parallel Mechanism ◽  
Force Sensor

Dynamics of structures with uncertain-but-bounded parameters via pseudo-static sensitivity analysis

2018 ◽  
Vol 111 ◽  
pp. 1-22 ◽  
Author(s):  
Giuseppe Muscolino ◽  
Alba Sofi ◽  
Filippo Giunta
Keyword(s):  
Sensitivity Analysis ◽  
Static Sensitivity

Advances in Sensitivity Analysis and Parametric Programming

1998 ◽  
Vol 49 (7) ◽  
pp. 770-770
Author(s):  
J M Wilson
Keyword(s):  
Sensitivity Analysis ◽  
Parametric Programming
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