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Topic: Process Analyzers

Data Analytics in Batch Operations
ControlGlobal.com
When Batch Processing Is Critical to Your Operations, Imagine the Worth of Knowing the Predicted Value of Quality Parameters

Phosphate Analysis Added to Navigator Lineup
ControlGlobal.com
Maintenance Is A Leading End-User Concern with Analyzers

The Shrinking Analyzer
ControlGlobal.com
NeSSI, Cost-Effective Preventive Maintenance, Confidence in the Solution

Process Analyzer References
ControlGlobal.com
More on NeSSI, Alarms, Wireless, Security and Safety

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White Papers: In Depth Research

Alliance Pipeline Sheds Proprietary GE Mark V Communications
Author: Matrikon
Posted: 05/28/2008
Establishing OPC Communication With the Mark V

Kinder Morgan Canada Taps Matrikon Alarm Manager for More Consistent, Efficient Pipeline Management
Author: Matrikon
Posted: 04/03/2008
With Alarm Manager, Kinder Morgan Canada will be able to identify bad actors and ensure all alarms are configured in a way that maximizes safety and efficiency. By reducing alarms, the solution helps operators notice the most important ones, thereby decreasing operator error.

Performance Comparison of Flexible Detector Designs
Author: Ronan Measurements
Posted: 02/06/2008
The purpose of this paper is to present test results of recent measurements on a scintillating fill fluid (i.e., liquid scintillator filled) detector and a scintillating fiber bundle detector designs, and explain the observed differences in efficiency. In our measurements we observe an improvement of factor of 2.4 in light output for a fill fluid detector compared to scintillating fiber bundle detector of the same diameter and length.

Nonlinear Control and Decision Making Using Fuzzy Logic in Logix
Author: Rockwell Automation
Posted: 09/24/2007
This white paper explores fuzzy logic and how it helps engineers solve nonlinear control problems commonly found in process applications. Fuzzy logic, which mathematically emulates human reasoning, provides an intuitive way to design function blocks for intelligent control systems, advanced fault detection and other complex applications. Control systems deploying fuzzy logic can improve the management of uncertain variables, such as temperature fluctuations.

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