scholarly journals A NOVEL RESISTANCE NETWORK NODE POTENTIAL MEASUREMENT METHOD AND APPLICATION IN GROUNDING GRIDS CORROSION DIAGNOSIS

2016 ◽  
Vol 52 ◽  
pp. 9-20 ◽  
Author(s):  
Kai Liu ◽  
Fan Yang ◽  
Xiaoyu Wang ◽  
Bing Gao ◽  
Xiaokuo Kou ◽  
...  
Keyword(s):  
Measurement Method ◽  
Network Node ◽  
Potential Measurement ◽  
Resistance Network ◽  
Node Potential ◽  
Grounding Grids

scholarly journals A Cycle Voltage Measurement Method and Application in Grounding Grids Fault Location

Energies ◽  
2017 ◽  
Vol 10 (11) ◽  
pp. 1929 ◽  
Author(s):  
Fan Yang ◽  
Yongan Wang ◽  
Manling Dong ◽  
Xiaokuo Kou ◽  
Degui Yao ◽  
...  
Keyword(s):  
Measurement Method ◽  
Fault Location ◽  
Voltage Measurement ◽  
Grounding Grids

scholarly journals Monitoring Change of Body Fluid during Physical Exercise using Bioimpedance Spectroscopy and Finite Element Simulations

2019 ◽  
Vol 2 (1) ◽  
pp. 79-85 ◽  
Author(s):  
Lisa Röthlingshöfer ◽  
Mark Ulbrich ◽  
Sebastian Hahne ◽  
Steffen Leonhardt
Keyword(s):  
Finite Element ◽  
Body Composition ◽  
Physical Exercise ◽  
Body Fluid ◽  
Measurement Method ◽  
The Body ◽  
Fluid Loss ◽  
Bioimpedance Spectroscopy ◽  
Data Set ◽  
Potential Measurement

Abstract Athletes need a balanced body composition in order to achieve maximum performance. Especially dehydration reduces power and endurance during physical exercise. Monitoring the body composition, with a focus on body fluid, may help to avoid reduction in performance and other health problems. For this, a potential measurement method is bioimpedance spectroscopy (BIS). BIS is a simple, non-invasive measurement method that allows to determine different body compartments (body fluid, fat, fat-free mass). However, because many physiological changes occur during physical exercise that can influence impedance measurements and distort results, it cannot be assumed that the BIS data are related to body fluid loss alone. To confirm that BIS can detect body fluid loss due to physical exercise, finite element (FE) simulations were done. Besides impedance, also the current density contribution during a BIS measurement was modeled to evaluate the influence of certain tissues on BIS measurements. Simulations were done using CST EM Studio (Computer Simulation Technology, Germany) and the Visible Human Data Set (National Library of Medicine, USA). In addition to the simulations, BIS measurements were also made on athletes. Comparison between the measured bioimpedance data and simulation data, as well as body weight loss during sport, indicates that BIS measurements are sensitive enough to monitor body fluid loss during physical exercise.

Zeta Potential Measurement Method of Electrophoretic Light Scattering Based on Chirp Z-Transform

2017 ◽  
Vol 37 (2) ◽  
pp. 0229001
Author(s):  
刘 伟 Liu Wei ◽  
张珊珊 Zhang Shanshan ◽  
John C Thomas John C Thomas ◽  
陈文钢 Chen Wengang ◽  
王雅静 Wang Yajing ◽  
...  
Keyword(s):  
Light Scattering ◽  
Zeta Potential ◽  
Measurement Method ◽  
Potential Measurement ◽  
Electrophoretic Light Scattering ◽  
Zeta Potential Measurement

Evaluation of a Trapping Potential Measurement Technique for Optical Tweezers Using Simulations and Experiments

2009 ◽  
Author(s):  
Arvind Balijepalli ◽  
Thomas W. LeBrun ◽  
Jason J. Gorman ◽  
Satyandra K. Gupta
Keyword(s):  
Optical Tweezers ◽  
Measurement Method ◽  
Force Measurement ◽  
Optical Trap ◽  
Two Dimensions ◽  
Trapping Potential ◽  
Potential Measurement ◽  
Trapping Force ◽  
Dynamics Simulations ◽  
Trapping Forces

A technique to measure the trapping force in an optical tweezers, without making any prior assumptions about the trap shape, has been extended to two-dimensions. The response of a trapped micro or nanoparticle to a step input is measured and then used to calculate the trapping force experienced by the particle as a function of its position in the trap. Langevin dynamics simulations have been implemented to evaluate the performance of this measurement method in two-dimensions and to evaluate whether the particle’s motion away from the measurement plane due to diffusion gives rise to an error in the trapping force measurement. Preliminary experimental results are also presented to demonstrate this method in the laboratory. This force measurement method provides insight into the trapping behavior of micro and nanoparticles in an optical trap beyond the region, close to the trap center, where the trapping force is assumed to vary linearly with the particle’s displacement. The measured trapping forces, from simulations and laboratory experiments, are then integrated to recover the shape of the optical trapping potential.

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