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This paper therefore will present a comparative evaluation study of the current inferential measurement techniques.
This paper proposes a development of inferential measurement system using wavelet network (wavenet) as parameter and inferential estimator.
However, more work is required to correlate the detected analytes with paper of varying, and known, stability ranges before they can be used as inferential measurement devices for paper deterioration.
This strategy developed through the fusion of statistical and artificial modelling to generate a hybrid inferential measurement system has the potential to significantly improve the quality control monitoring system and reduce the economic loss encountered through the production of off-spec material.
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Carbon dioxide concentration and oxidationreduction potential (ORP) are selected as key inferential measurements of oxidation kinetics and oxidant reagent consumption.
These states are used as inferential measurements to the nonlinear controller that is designed in the framework of globally linearizing control.
The obtained experimental results show that the proposed MFLC-MSA strategy can achieve good performance to guarantee on-specification discharge at maximum degradation rate using readily available measurements such as pH and ORP, inferential measurements of oxidation kinetics and peroxide consumption, respectively.
Some non-inferential physiological measurements can enhance animal models of human neurodevelopmental anxiety disorders.
Several sources of noise, including technical and procedural factors, may influence measurement quality, generating inferential errors.
After that, state the level of measurement, and then introduce inferential statistics.
Both sets of image features are combined with traditional process measurements to obtain an inferential model by partial least squares (PLS) regression.
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