ECT Measurement System with Optical Detection for Quality Control of Flow Process

2016 ◽  
Vol 1 (12) ◽  
pp. 159-162 ◽  
Author(s):  
Tomasz RYMARCZYK
Keyword(s):  
Quality Control ◽  
Measurement System ◽  
Optical Detection ◽  
Flow Process ◽  
Control Of Flow

scholarly journals A Questionnaire Survey of Quality Control of Flow Cytometry in Korea and Development of New Quality-Control Materials

2017 ◽  
Vol 39 (4) ◽  
pp. 168-177
Author(s):  
Jae Seong Shim ◽  
Sang Mi Hwang ◽  
In Suk Kim ◽  
Sang Yong Shin ◽  
Ju Young Oh ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
Quality Control ◽  
Questionnaire Survey ◽  
Quality Control Materials ◽  
Control Of Flow

scholarly journals Dripper testing: Application of statistical quality control for measurement system analysis

2017 ◽  
Vol 21 (9) ◽  
pp. 587-593
Author(s):  
Hermes S. da Rocha ◽  
Patricia A. A. Marques ◽  
Antonio P. de Camargo ◽  
Douglas L. dos Reis ◽  
Eric A. da Silva ◽  
...  
Keyword(s):  
Quality Control ◽  
Water Temperature ◽  
Measurement System ◽  
System Analysis ◽  
Total Variance ◽  
Statistical Quality Control ◽  
Adjustment Process ◽  
Flow Measurements ◽  
Statistical Quality ◽  
Test Pressure

ABSTRACT Laboratory tests for technical evaluation or irrigation material testing involve the measurement of many variables, as well as monitoring and control of test conditions. This study, carried out in 2016, aimed at using statistical quality control techniques to evaluate results of dripper tests. Exponentially weighted moving average control charts were elaborated, besides capability indices for the measurement of the test pressure and water temperature; and study on repeatability and reproducibility (Gage RR) of flow measurement system using 10 replicates, in three work shifts (morning, afternoon and evening), with 25 emitters. Both the test pressure and water temperature remained stable, with “excellent” performance for the pressure adjustment process by integrative-derivative proportional controller. The variability between emitters was the component with highest contribution to the total variance of the flow measurements, with 96.77% of the total variance due to the variability between parts. The measurement system was classified as “acceptable” or “approved” by the Gage RR study; and non-random causes of significant variability were not identified in the routine of tests.

The Application of Measurement System Analysis in the Experimental Platform of Large Electronic Current

2010 ◽  
Vol 426-427 ◽  
pp. 55-59 ◽  
Author(s):  
H.Z. Wu ◽  
X.J. Wei ◽  
W.H. Li
Keyword(s):  
Quality Control ◽  
Measurement System ◽  
System Analysis ◽  
Experimental Platform ◽  
Methods Of Analysis ◽  
Measurement System Analysis ◽  
Electronic Current ◽  
Bias Stability ◽  
Repeatability And Reproducibility

The article discusses the application of MSA in the process of quality control of production, under the relevant requirements in ISO/TS16949. With DWST experimental platform of large electronic current as an example, it analyzes the data achievement, the application of statistics and the methods of analysis report in the evaluation of variations on bias, stability, linearity, repeatability and reproducibility. The research gives a guide to the effective implement of MSA in the production and manufacture.

Portable IR Emittance Measurement System for Spacecraft Thermal Design and Quality Control

2007 ◽  
Author(s):  
A. Ohnishi ◽  
H. Yamana ◽  
S. Tachikawa ◽  
H. Nagano ◽  
S. Katsuki
Keyword(s):  
Quality Control ◽  
Measurement System ◽  
Thermal Design ◽  
Emittance Measurement

Precision Comparison of 3D Measurement System Based on Stereo Vision

2012 ◽  
Vol 542-543 ◽  
pp. 635-638
Author(s):  
Ke Zhang ◽  
Zhao Gao
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Quality Control ◽  
Stereo Vision ◽  
Measurement System ◽  
Bp Neural Network ◽  
Robot Vision ◽  
Measurement Technology ◽  
3D Measurement ◽  
3D Measurement System

The 3D measurement based on stereo vision, as a new measurement technology, has been widely used in reverse engineering, robot vision and quality control, etc. In this paper, the basic principle and method of calibrating 3D measurement system based on stereo vision respectively using genetic algorithm and neural network was introduced. Then the measurement system was calibrated and the precision of 3D measurement system was compared. The experimental results indicate that the method based on BP neural network can improve the precision of measurement better.

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