Metrological analysis of a neural network measuring system for medical purposes

2021 ◽  
pp. 65-80
Author(s):  
O.A. Avdeyuk ◽  
Yu.P. Mukha ◽  
D.N. Avdeyuk ◽  
M.G. Skvortsov ◽  
Z. Omiotek ◽  
...  
Keyword(s):  
Neural Network ◽  
Measuring System ◽  
Metrological Analysis

Dynamic Inverse Model for Multi-Sensor Measurement System Based on Wavelet Neural Network

2012 ◽  
Vol 499 ◽  
pp. 335-339
Author(s):  
Dong Zhi Zhang ◽  
Bo Kai Xia ◽  
Kai Wang ◽  
Jun Tong ◽  
Nian Zhen Yang
Keyword(s):  
Neural Network ◽  
Measuring Method ◽  
Wavelet Neural Network ◽  
Inverse Model ◽  
Measuring System ◽  
Water Mixture ◽  
Accuracy Measurement ◽  
Sensing Technology ◽  
Dynamic Inverse ◽  
Digital Oilfield

As traditional measuring method based on dielectric coefficients shows cross-sensitivity for multi-factor in the measurement of oil/water mixture, it can not meet the requirements of digital oilfield construction. Therefore, this paper presents an inverse model of wavelet neural network (WNN) combining with multi-sensing technology for achieving high-accuracy measurement of water content in crude oil. The simulation and experimental results demonstrate that the proposed method is available to eliminate the cross-coupling effects of multi-factors. The method has higher measurement accuracy and stronger generalization than the model built by BP-NN, and opens a versatile approach in nonlinear error calibration for multi-factors measuring system.

scholarly journals Uncertainty analysis of measuring system for instantaneous power research

2012 ◽  
Vol 19 (3) ◽  
pp. 573-582 ◽  
Author(s):  
Ariel Dzwonkowski ◽  
Leon Swędrowski
Keyword(s):  
Spectral Analysis ◽  
Induction Motor ◽  
Measurement System ◽  
Electrical Power ◽  
Induction Machine ◽  
Uncertainty Estimation ◽  
Measuring System ◽  
Metrological Analysis ◽  
Instantaneous Power ◽  
Measurement And Analysis

Abstract The electrical power drawn by an induction motor is distorted in case of appearance of a certain type of failures. Under spectral analysis of the instantaneous power one obtains the components which are connected with definite types of damage. An analysis of the amplitudes and frequencies of the components allows to recognize the type of fault. The paper presents a metrological analysis of the measurement system used for diagnosis of induction motor bearings, based on the analysis of the instantaneous power. This system was implemented as a set of devices with dedicated software installed on a PC. A number of measurements for uncertainty estimation was carried out. The results of the measurements are presented in the paper. The results of the aforementioned analysis helped to determine the measurement uncertainty which can be expected during bearing diagnostic measurements, by the method relying on measurement and analysis of the instantaneous power of an induction machine.

Hybrid Neural Network Models of Six-Axis Force Sensor

2012 ◽  
Vol 591-593 ◽  
pp. 1450-1456
Author(s):  
Sheng Lai Chen ◽  
Jian Zhong Hong
Keyword(s):  
Neural Network ◽  
Linear Part ◽  
Network Models ◽  
Mapping Function ◽  
Force Sensor ◽  
Measuring System ◽  
Data Simulation ◽  
Neural Network Models ◽  
Nonlinear Part ◽  
Force Signal

A method of analyzing the Six-axis force measuring system by hybrid modeling is introduced in this paper. The mapping function of signal voltage output, which is input vectors of the Neural Network (NN) model, and measuring force signal, which is output vectors of the NN model, is represented as two parts. The determined linear part obtains the main principle and the the information of transfer matrix. The undetermined nonlinear part are estimated by neural network. The problems about nonlinear error and coupling are solved. The accuracy and feasibility of the method are displayed by the result of experiment data simulation.

Genetic Algorithm-Based COD Calibration Method Research

2013 ◽  
Vol 341-342 ◽  
pp. 748-753
Author(s):  
Jia Ni Qian ◽  
Tian Wang ◽  
Xi Peng Lv ◽  
Yun Long Tang ◽  
Xiu Fen Ye
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Radial Basis Function ◽  
Basis Function ◽  
Evolutionary Process ◽  
Function Optimization ◽  
Measuring System ◽  
Good Effect ◽  
Fitness Value ◽  
Radial Basis

For better realization of the function of Chemical oxygen demand (COD) online measuring instrument and improving its measurement accuracy , a good calibration and identification of signals collected is needed. During the process, the problem on parameter identification of undetermined function can be transformed into function optimization. Considering the characteristics of genetic algorithm It is introduced into the function identification of the measuring system and compare it with the radial basis function neural network. As for the premature of population evolutionary process, this article presents the method to select operators according to genetic fitness value of each individual and designs a set of system identifier based on Genetic Algorithm to identify the system. Finally, test the experimental data get from water bath in the lab dish. The relative error of output value does not exceed 8%.The experiment results show that genetic algorithm has a good effect in the system identifier on the calibration and identification of COD measuring system, better than radial basis function neural network.

scholarly journals Methodological issues of metrological analysis of planned medieval towns and villages

ACTA IMEKO ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 217
Author(s):  
Anna Maria Kubicka ◽  
Maria Legut-Pintal
Keyword(s):  
Historical Research ◽  
Measuring System ◽  
Methodological Issues ◽  
Metrological Analysis ◽  
Units Of Measurement ◽  
Modular Analysis ◽  
First Time

<p class="Abstract">In this paper, we illustrate problems related to the application of two methods used for the reconstruction of the parcellation of medieval towns: modular analysis and the cosine quantogram. We propose the usage of the cosine quantogram, which is rarely used to study urban layout, for the identification of units of measurement in regular medieval towns. Based on two examples from the region of Silesia, Poland, Namyslów and Dzierzoniów, we discuss the usefulness of both methods in the reconstruction of the original measuring system and town layout. For the first time, we have applied these two methods to the study of the layout of a regular village. Despite the limitations, such as the level of precision in the construction of a medieval town’s layout at the time of its foundation, later changes to the division of plots and the known inaccuracy of modern maps, it seems that combining both methods allows the determination of the module used for the planning of the original urban layout. The application of the cosine quantogram can be useful for improving the results of modular analysis. Nevertheless, the results of both methods should be verified against archaeological results and historical research.</p>

Sign in / Sign up

Export Citation Format

Share Document