Multivariate statistical process monitoring
Monitoring process variability and root cause analysis in paper box production
... proper statistical process con- trol to monitor the quality of box set ...a multivariate statistical process control tech- nique will be applied by using the data set ...
6
Univariate and multivariate control charts for monitoring sugar production process
... Nowadays, statistical process control techniques, SPC are widely used in ...single process variable at a time are inadequate to control the process stability ...the process variables ...
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MULTIVARIATE STATISTICAL PROCESS CONTROL OF PLATINUM: A CASE STUDY OF MINING COMPANY IN SHABANI, ZIMBABWE
... (2005), Statistical Process Control (SPC) is a collection of tools that help achieving process stability and improving capability through reduction of ...of process characteristics usually ...
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Quality and Operation Management System for Steel Products through Multivariate Statistical Process Control
... In steel manufacturing plants, many quality and operation management system have been implemented since an early date, and the number of products and the operation conditions are continuing to increase. Because this is a ...
6
Multivariate statistical quality control of a pharmaceutical manufacturing process using near infrared spectroscopy and imaging microscopy
... tablet process blends, « = 36 batches of higher strength tablet process ...for monitoring the blends and spectral scatter correction was considered ...tablet process and higher strength tablet ...
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Synergistic artificial neural network scheme for monitoring and diagnosis of multivariate process variation in mean shifts
... industries, process variation is known to be a major source of poor ...such, process monitoring and diagnosis is critical towards continuous quality ...(multivariate). Process ...
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Statistical Analysis of Process Monitoring Data for Software Process Improvement and Its Application
... the process quality by promoting activities of process monitoring and design quality ...discuss statistical data analysis for actual project manage- ment activities in process ...
8
Variable Selection Methods for Multivariate Process Monitoring
... This article proposes two new methods to select a reduced number of relevant variables for multivariate statistical process control that makes use of engineering, cost and variability evaluation ...
5
Pattern Recognition of Process Mean Shift using Combined ANN Recognizer
... in statistical process ...of multivariate statistical process control where T 2 charts and ANN model was utilized for monitoring process mean shift and identifying the ...
5
Multivariate Statistical Process Control Charts: An Overview
... on process control schemes that are based on a combination of the process outputs and automatic control actions using adaptive ...intelligent process-monitoring and fault-diagnosis environment ...
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Multivariate Statistical Process Control Charts and the Problem of Interpretation: A Short Overview and Some Applications in Industry
... that multivariate process control is one of the most rapidly developing sections of statistical process ...simultaneous monitoring or control, of two or more related quality - ...
7
A Study of Monitoring Non-normal Multivariate Process Using Support Vector Machine
... Multivariate processes are very important in modern industries for multiple quality ...When monitoring the process means shifts, traditional control charts for multivariate processes are not ...
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Shape variation modelling, analysis and statistical control for assembly system with compliant parts
... assembly process with sheet metal parts which lead to significant shape variation due to mainly spring-back, forming process parameter variations, tooling errors ...assembly process (Li et ...
252
Simulation study of statistical process control schemes performance for monitoring variation
... .In monitoring small and large process mean shifts and to propose an improved statistical process control charting procedure that effective for monitoring all process mean shifts ...
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Development of advanced fault diagnosis techniques for complex industrial processes
... each monitoring window during process monitoring using the MWKPCA ...The monitoring window is moving forward in a way such that for each new data sample available, an old data sample is ...The ...
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Some Group Runs Based Multivariate Control Charts for Monitoring the Process Mean Vector
... In many industrial processes, quality of the product may depend on two or more quali- ty characteristics (may be dependent), which need to be controlled and monitored si- multaneously. In the last decade or two, various ...
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Multi-objective Efficient Design of np Control Chart Using Data Envelopment Analysis
... In this paper, we proposed a multi-objective economic- statistical model for np control chart (np-MOESD model). This model contains four objective functions including economic cost function, in-control average run ...
10
Real Time Monitoring of Carbon Monoxide Using Value at Risk Measure and Control Charting
... both statistical and artificial intelligent (mainly neural networks) methods (Prybutok et ...Conventional statistical models include among others linear models, SARIMA models, Kalman Filters, ...
25
Photo-catalytic treatment of Azo dye: Optimization of Process Parameters Using Response Surface Methodology
... Water pollution poses serious threats to both the environment and the organisms that depend on their environment for survival. Due to the toxicity from dyes in textile wastewater, there is a dire need for the development ...
10
Modeling a multivariate transaction process
... joint process of price changes, transaction volumes, bid–ask spreads, and intertrade durations on the tick-by-tick time ...change process is discrete whereas the remain- ing three processes are continuous, ...
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