Data gathering, integrity

Automatic control systems can be based on individual stand-alone controllers or computer based systems. Individual controllers are easier to specify, readily available, and require less design and little or no programming. However, system integration is very difficult and data gathering remains a separate problem. System installation and maintenance are expensive and overall system... 

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These equations are used to convert a modulus to compliance in problem 6 of this chapter. The results of this calculation are depicted in Figure 2-16. In dealing with experimental results, the modulus is often available only as a set of discrete data gathered over a finite time interval. In this case, the transformation to a similar set of predicted creep data is a difficult numerical problem that can result in substantial errors.8,9 Commercial software packages are available that can do this and other "integral" transforms, but these should all be used with caution. A simplified example is suggested in problem 14. 

The control room should utilize CRT displays and other advanced display technologies. It should be designed only after a full analysis has been made of the control tasks to be performed, and should provide means for data gathering and processing which support operator tasks and decision making. Human factors princples and criteria should be applied to work space, work environment, annunciator warning systems, panel layout and control-display integration. 

There is a wide range of data integration and analysis methods, which can be tailored for data driven supply chain configuration. This chapter introduces a method focusing on data gathering from web services and ranking based supply chain facilities location. 

Assessment models evaluate present and project future software reliabflity from failure data gathered when the integration of the software starts (discussed subsequently). 

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