scholarly journals 3ω correction method for eliminating resistance measurement error due to Joule heating

2021 ◽  
Vol 92 (9) ◽  
pp. 094711
Author(s):  
Benny Guralnik ◽  
Ole Hansen ◽  
Henrik H. Henrichsen ◽  
Braulio Beltrán-Pitarch ◽  
Frederik W. Østerberg ◽  
...  
Keyword(s):  
Measurement Error ◽  
Joule Heating ◽  
Correction Method ◽  
Resistance Measurement

scholarly journals Quantification and Correction of Wave-Induced Turbulence Intensity Bias for a Floating LIDAR System

2021 ◽  
Vol 13 (15) ◽  
pp. 2973
Author(s):  
Thibault Désert ◽  
Graham Knapp ◽  
Sandrine Aubrun
Keyword(s):  
Measurement Error ◽  
Data Storage ◽  
Turbulence Intensity ◽  
Cost Effective ◽  
Correction Method ◽  
Lidar Measurement ◽  
Energy Potential ◽  
Offshore Area ◽  
Wind Lidar ◽  
Wave Induced

Floating LIDAR systems (FLS) are a cost-effective way of surveying the wind energy potential of an offshore area. However, as turbulence intensity estimates are strongly affected by wave-induced buoy motion, it is essential to correct them. In this study, we quantify the turbulence intensity measurement error of a WindCube v2® mounted on a 12-ton anchored buoy as a function of met-ocean conditions, and we construct a subsequently applied correction method suitable for 10-min wind LIDAR data storage. To this end, we build a model to simulate the effect of buoyancy movements on the LIDAR’s wind measurements. We first apply the model to understand the mechanisms responsible for the wind LIDAR measurement error. The effect of the buoy’s rotational and translational motions on the radial wind speed measurements of the individual beams is first studied. Second, the temporality induced by the LIDAR operation is taken into account; the effect of motion subsampling and the interaction between the different measurement beam positions. From this model, a correction method is developed and successfully applied to a 13-week experimental campaign conducted off the shores of Fécamp (Normandie, France) involving the buoy-mounted WindCube v2® compared with cup anemometers from a met mast and a fixed WindCube v2® on a platform. The correction improves the linear regression against the fixed LIDAR turbulence intensity measurements, shifting the offset from ~0.03 to ~0.005 without post-processing the remaining peaks.

Study on measurement error analysis and correction method of ground flash data in Hunan

2021 ◽  
Author(s):  
Xiecheng Wan ◽  
Fengjiao Liu ◽  
Yao Tang ◽  
Yanqing Liu ◽  
Ming Xue
Keyword(s):  
Measurement Error ◽  
Error Analysis ◽  
Correction Method

Clarification of Measurement Error of Orifice Flow Meter in Wet Steam Flow

2011 ◽  
Author(s):  
Ryo Morita ◽  
Shuichi Umezawa ◽  
Tatsuya Funaki ◽  
Fumio Inada ◽  
Masayuki Sakai ◽  
...  
Keyword(s):  
Measurement Error ◽  
Flow Rate ◽  
Measurement Errors ◽  
Correction Method ◽  
Steam Flow ◽  
Wet Steam ◽  
Flow Meter ◽  
Orifice Flow ◽  
Wet Steam Flow ◽  
Orifice Flow Meter

It is well known that the wetness of steam flow sometimes causes measurement errors of the steam flow meter. However, it is difficult to clarify a particular error quantitatively in actual plants and factories, and thus far, there has been no established method for estimating the error caused by the wetness of steam flow. Therefore, wet steam flow rate measurement experiments were conducted to clarify the measurement error caused by the wetness of steam flow in a plant and a factory. In this study, as the first step, the orifice flow meter was applied because it is the main flow meter in actual plants. Experiments were conducted with the steam flow apparatus by changing the flow rate, pressure and wetness. As a result, the correlation between the measurement error and the flow condition was clarified. Moreover, for the correction of the error, a new correction method was applied and was confirmed to be better than existing methods now being used.

The Research on the Error Correcting Method for Acoustic Measurement the Missing Distance of Moving Areal Target

2014 ◽  
Vol 1028 ◽  
pp. 180-185
Author(s):  
Xiao Wei Qi ◽  
Hong Yi Liu ◽  
Hong Ju Gao ◽  
Jia Xin Dong
Keyword(s):  
Measurement Error ◽  
Processing Speed ◽  
Search Algorithm ◽  
Correction Method ◽  
Distance Measurement ◽  
One Dimensional ◽  
Distance Calculation ◽  
Error Correction Method ◽  
Simulation Results ◽  
Miss Distance

In this paper, the effects on measurement missing distance due to the movement of target are analyzed, and the new method for missing distance measurement error correcting based on space coordinates correction is studied. With the optimal one-dimensional search algorithm in the miss distance calculation obviously increase the processing speed. The simulation results show that this kind of error correction method can effectively reduce the miss distance measurement error.

A correction method for DVL measurement error by pitch dynamics

2017 ◽  
Author(s):  
P. J. Liu ◽  
B. Wang ◽  
Z. H. Deng ◽  
X. Xiao ◽  
S. T. Wang
Keyword(s):  
Measurement Error ◽  
Correction Method

scholarly journals Measurement error correction in the least absolute shrinkage and selection operator model when validation data are available

2017 ◽  
Vol 28 (3) ◽  
pp. 670-680 ◽  
Author(s):  
Monica M Vasquez ◽  
Chengcheng Hu ◽  
Denise J Roe ◽  
Marilyn Halonen ◽  
Stefano Guerra
Keyword(s):  
Measurement Error ◽  
Variable Selection ◽  
Error Correction ◽  
Simulated Data ◽  
Correction Method ◽  
Serum Biomarkers ◽  
Parameter Estimates ◽  
Validation Data ◽  
Selection Operator ◽  
Measurement Error Correction

Measurement of serum biomarkers by multiplex assays may be more variable as compared to single biomarker assays. Measurement error in these data may bias parameter estimates in regression analysis, which could mask true associations of serum biomarkers with an outcome. The Least Absolute Shrinkage and Selection Operator (LASSO) can be used for variable selection in these high-dimensional data. Furthermore, when the distribution of measurement error is assumed to be known or estimated with replication data, a simple measurement error correction method can be applied to the LASSO method. However, in practice the distribution of the measurement error is unknown and is expensive to estimate through replication both in monetary cost and need for greater amount of sample which is often limited in quantity. We adapt an existing bias correction approach by estimating the measurement error using validation data in which a subset of serum biomarkers are re-measured on a random subset of the study sample. We evaluate this method using simulated data and data from the Tucson Epidemiological Study of Airway Obstructive Disease (TESAOD). We show that the bias in parameter estimation is reduced and variable selection is improved.

Magnetic Correction of Materials with Weak Magnetism Signals

2013 ◽  
Vol 785-786 ◽  
pp. 567-572
Author(s):  
Jian Jun Gu ◽  
Wei Yang ◽  
Yun Kai Qi ◽  
Shu Min Yang
Keyword(s):  
Measurement Error ◽  
Magnetic Moment ◽  
Traditional Method ◽  
Correction Method ◽  
Magnetic Characterization ◽  
Weak Magnetism ◽  
Characterization Of Materials

For studies of the magnetic characterization of materials with weak magnetism signals, an improved magnetic correction method is proposed to subtract the signal arising from the substrate. The magnetic moment error arising from fitting the data and the system measurement error have been calculated. The influence of nonlinear M-H curves for the substrates has been analyzed and compared with the traditional method of subtracting the substrate signal. Standards determining the presence of ferromagnetism in materials with weak magnetism signals are suggested. The improved magnetic correction method provides a criterion for clarifying confusion in the characterization of materials with weak magnetism signals.

scholarly journals 2D Rotation-Angle Measurement Utilizing Least Iterative Region Segmentation

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1634 ◽  
Author(s):  
Chenguang Cao ◽  
Qi Ouyang
Keyword(s):  
Measurement Error ◽  
Measurement Accuracy ◽  
Rotation Angle ◽  
Correction Method ◽  
Angle Measurement ◽  
Geometric Moments ◽  
Automatic Sorting ◽  
Camera Pose ◽  
Sorting System ◽  
Accuracy Speed

When geometric moments are used to measure the rotation-angle of plane workpieces, the same rotation angle would be obtained with dissimilar poses. Such a case would be shown as an error in an automatic sorting system. Here, we present an improved rotation-angle measurement method based on geometric moments, which is suitable for automatic sorting systems. The method can overcome this limitation to obtain accurate results. The accuracy, speed, and generality of this method are analyzed in detail. In addition, a rotation-angle measurement error model is established to study the effect of camera pose on the rotation-angle measurement accuracy. We find that a rotation-angle measurement error will occur with a non-ideal camera pose. Thus, a correction method is proposed to increase accuracy and reduce the measurement error caused by camera pose. Finally, an automatic sorting system is developed, and experiments are conducted to verify the effectiveness of our methods. The experimental results show that the rotation angles are accurately obtained and workpieces could be correctly placed by this system.

Sign in / Sign up

Export Citation Format

Share Document