Given their ability to measure the concentration of various pollutants at remote locations, the analyzers used to detect and characterize pollutants in liquid, solid, and gaseous matrices are regarded as high-tech instruments. Since they frequently work in harsh environments, they are vulnerable to important factors like wind, temperature, and power limitations. This paper examines the use of water analyzers in identifying critical circumstances and the behavior that results from thermal drifts. The outcomes and measurement of the water sample are affected by the critical conditions. Two methods were used to evaluate the reliability of analyzers deployed on two water quality monitoring nodes. Principal component analysis (PCA) and Kriging (optimal estimator) are the methods. They have discovered that when there is an overtemperature, the findings do not match; therefore, they have to be dismissed due to a malfunction or failure.
The Effects of Thermal Drift on the Reliability of Water Analyzers
Maggi, Sabino;Palmisano, Maurizio;
2024
Abstract
Given their ability to measure the concentration of various pollutants at remote locations, the analyzers used to detect and characterize pollutants in liquid, solid, and gaseous matrices are regarded as high-tech instruments. Since they frequently work in harsh environments, they are vulnerable to important factors like wind, temperature, and power limitations. This paper examines the use of water analyzers in identifying critical circumstances and the behavior that results from thermal drifts. The outcomes and measurement of the water sample are affected by the critical conditions. Two methods were used to evaluate the reliability of analyzers deployed on two water quality monitoring nodes. Principal component analysis (PCA) and Kriging (optimal estimator) are the methods. They have discovered that when there is an overtemperature, the findings do not match; therefore, they have to be dismissed due to a malfunction or failure.| File | Dimensione | Formato | |
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