Sentence examples for data process control from inspiring English sources

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Monitoring of time-critical data, process control, and security are possible candidate applications.

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The know-how, necessary for their control and supervision implies numerous and wide domains of knowledge (chemistry, data treatment, process control, signal processing, etc.) of both quantitative and qualitative natures.

Digital techniques are becoming more and more popular in processing sensor outputs in data acquisition, process control, and measurement.

To start for W-mean Hotelling and W-mean-MEMA the data process and control limits are constructed based on approximations.

It is shown here how these algorithms can provide with solutions involving NIR data for process control having over 1000 variables.

Several participants also discussed success in gaining regulatory approval for "Lean stability approach" (e.g., stability protocol limited to monitoring parameters that changes on storage) as post approval changes with adequate data including process control and scientific justification.

A good conceptual illustration for how to extend monitoring beyond cyberspace is given in Figure 6, and this shows different Host, Network, and Device IDSs harvesting information into a centralized SIEM system with the goal of improving Intrusion Detection by also analyzing data from Process Control System sensors.

To analyze collected primary and secondary data, statistical process control application package called SPSS has been used for correlation and impact analysis with its correlation module and hierarchical clustering approach respectively to find out the factor correlations and their impact among factors for MSEs.

To analyse the variation present in these time-series data, statistical process control is used to separate special cause variation (signal) from common cause variation, an inherent property of all systems.

It proposes a hierarchical configuration of control organized on two levels of automation which treats aspects related to the primary processing of data, processes identification, control and optimization of the systems operating regime for representative plants in the chemical and petrochemical industry.

The acquisition units are connected to a data processor, a process control engineering support data management system.

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